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pmid:39858052

Necroptosis-Related Gene Signature Predicts Prognosis in Patients with Advanced Ovarian Cancer.

Cancers · 2025 doi:10.3390/cancers17020271

Paper

partial

Experiment

partial

Data

partial

Analysis

absent

Execution

absent

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
id
pmid:39858052
kind
science-record
content_hash
sha256:0853347b7e080a7a8af8dd8c473227d60274a731319688b34dc26a0c70163004
schema
https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T10:25:49Z
updated_at
2026-11-01T14:01:33Z
generator object · 3 fields
name
corpus-assay-engine
converter
sep_to_sci_v1
source_package_schema
urn:bntrg:sep:1.0.0
paper object · 10 fields
state
partial
title
Necroptosis-Related Gene Signature Predicts Prognosis in Patients with Advanced Ovarian Cancer.
doi
10.3390/cancers17020271
pmid
39858052
authors
null
journal
Cancers
year
2025
abstract
null
claims array · 1 item
[0] object · 6 fields
id
claim-1
statement
the headline numerical result the paper states for its main finding
kind
quantitative
state
complete
target object · 4 fields
value
10
unit
genes
tolerance
null
source
chars 95-245 of source sha256 921e442b3532aec243c71afa31bf69ee693775fc390df8c53a842e0a3cd0e026
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:39858052
locator
chars 95-245 of source sha256 921e442b3532aec243c71afa31bf69ee693775fc390df8c53a842e0a3cd0e026
quote
We established and validated a risk score based on a 10-gene signature from the expression of necroptosis-associated genes in advanced ovarian cancer.
gaps array · 2 items
[0]
abstract
[1]
authors
experiment object · 8 fields
state
partial
objective
the headline numerical result the paper states for its main finding
steps array · 3 items
[0] object · 13 fields
id
read_published_estimate
order
1
name
Read the published estimate and its interval from the source
kind
other
state
complete
blocked_on
null
description
The number a replication must land on, and the sentence it came from.
parameters object · 0 fields
inputs array · 1 item
[0]
source:pmid:39858052
outputs array · 1 item
[0]
the published estimate, its unit and its interval
instruments array · 0 items
reagents array · 0 items
[1] object · 13 fields
id
obtain_source_data
order
2
name
Obtain the source data behind the published result
kind
data-preparation
state
blocked
blocked_on
data:accession_absent
description
The published result cannot be recomputed without the data the paper analysed.
parameters object · 0 fields
inputs array · 0 items
outputs array · 1 item
[0]
the source data with its provenance
instruments array · 0 items
reagents array · 0 items
[2] object · 13 fields
id
run_analysis
order
3
name
Run the analysis programme
kind
analysis
state
blocked
blocked_on
no owned computational capability is bound to this experiment
description
Re-run the paper's analysis on the source data and produce the registered result. | SEP input not carried into the asset list: materials:the source data behind the published result in pmid:39858052
parameters object · 0 fields
inputs array · 0 items
outputs array · 1 item
[0]
the registered result
instruments array · 0 items
reagents array · 0 items
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instruments array · 0 items
reagents array · 0 items
conditions object · 0 fields
gaps array · 3 items
[0]
step:obtain_source_data blocked on data:accession_absent
[1]
step:run_analysis blocked on no owned computational capability is bound to this experiment
[2]
step:run_analysis input 'materials:the source data behind the published result in pmid:39858052' does not resolve to a declared asset
data object · 3 fields
state
partial
assets array · 4 items
[0] object · 15 fields
id
source:pmid:39858052
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manuscript
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xml
media_type
application/xml
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https://doi.org/10.3390/cancers17020271
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identifier
10.3390/cancers17020271
version
null
note
Source read by the package builder: full_text.
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access_state
full_text
[1] object · 16 fields
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asset:table:pmid:39858052:1
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section[3]/table-wrap[1]#cancers-17-00271-t001
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null
note
Clinical features of the gene expression datasets.
structure object · 5 fields
pmcid
PMC11763378
section_index
3
section_title
2.1. Data Source and Pre-Processing
row_count
14
column_count
3
table object · 8 fields
label
Table 1
caption
Clinical features of the gene expression datasets.
rows array · 14 items
[0] array · 3 items
[0]
Clinical Features
[1]
TCGA-OV (n = 347)
[2]
GSE140082 (n = 328)
[1] array · 3 items
[0]
Age
[1]
[2]
[2] array · 3 items
[0]
≤60 years
[1]
192 (55.3%)
[2]
173 (52.7%)
[3] array · 3 items
[0]
>60 years
[1]
155 (44.7%)
[2]
155 (47.3%)
[4] array · 3 items
[0]
FIGO stage
[1]
[2]
[5] array · 3 items
[0]
III
[1]
290 (83.6%)
[2]
265 (80.8%)
[6] array · 3 items
[0]
IV
[1]
57 (16.4%)
[2]
63 (19.2%)
[7] array · 3 items
[0]
Grading
[1]
[2]
[8] array · 3 items
[0]
Low
[1]
36 (10.4%)
[2]
67 (20.4%)
[9] array · 3 items
[0]
High
[1]
303 (87.3%)
[2]
238 (72.6%)
[10] array · 3 items
[0]
Unknown
[1]
8 (2.3%)
[2]
23 (7.0%)
[11] array · 3 items
[0]
3-year survival
[1]
[2]
[12] array · 3 items
[0]
Alive
[1]
125 (36.0%)
[2]
92 (28.0%)
[13] array · 3 items
[0]
Dead
[1]
222 (64.0%)
[2]
236 (72.0%)
locator
section[3]/table-wrap[1]#cancers-17-00271-t001
[2] object · 16 fields
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asset:table:pmid:39858052:2
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application/vnd.jats.table+json
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section[4]/table-wrap[1]#cancers-17-00271-t002
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null
note
GSE140082 grouping information.
structure object · 5 fields
pmcid
PMC11763378
section_index
4
section_title
2.2. Clustering of Necroptosis-Associated Genes and Construction of a Prognostic Model
row_count
14
column_count
4
table object · 8 fields
label
Table 2
caption
GSE140082 grouping information.
rows array · 14 items
[0] array · 4 items
[0]
[1]
GSE140082 Training (n = 164)
[2]
GSE140082 Testing (n = 164)
[3]
p-Value
[1] array · 4 items
[0]
Age
[1]
[2]
[3]
[2] array · 4 items
[0]
≤60 years
[1]
92 (56.1%)
[2]
81 (49.4%)
[3]
0.27
[3] array · 3 items
[0]
>60 years
[1]
72 (43.9%)
[2]
83 (50.6%)
[4] array · 4 items
[0]
FIGO stage
[1]
[2]
[3]
[5] array · 4 items
[0]
III
[1]
128 (78.0%)
[2]
137 (83.5%)
[3]
0.26
[6] array · 3 items
[0]
IV
[1]
36 (22.0%)
[2]
27 (16.5%)
[7] array · 4 items
[0]
Grading
[1]
[2]
[3]
[8] array · 4 items
[0]
Low
[1]
30 (18.3%)
[2]
37 (22.6%)
[3]
0.33
[9] array · 3 items
[0]
High
[1]
124 (75.6%)
[2]
114 (69.5%)
[10] array · 3 items
[0]
Unknown
[1]
10 (6.1%)
[2]
13 (7.9%)
[11] array · 4 items
[0]
3-year survival
[1]
[2]
[3]
[12] array · 4 items
[0]
Alive
[1]
42 (25.6%)
[2]
50 (30.5%)
[3]
0.39
[13] array · 3 items
[0]
Dead
[1]
122 (74.4%)
[2]
114 (69.5%)
locator
section[4]/table-wrap[1]#cancers-17-00271-t002
[3] object · 16 fields
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asset:table:pmid:39858052:3
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table
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jats-table
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application/vnd.jats.table+json
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read_table
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identifier
section[18]/table-wrap[1]#cancers-17-00271-t003
version
null
note
Clinical EOC patient cohort information.
structure object · 5 fields
pmcid
PMC11763378
section_index
18
section_title
3.8. High Nuclear Expression of RIPK3 Is Associated with Significantly Longer Progression-Free Survival (PFS) and OS in an EOC Patient Cohort
row_count
30
column_count
4
table object · 8 fields
label
Table 3
caption
Clinical EOC patient cohort information.
rows array · 30 items
[0] array · 3 items
[0]
[1]
Number of Patients
[2]
Percentage
[1] array · 3 items
[0]
Age
[1]
[2]
[2] array · 3 items
[0]
≤60 years
[1]
84
[2]
54.2
[3] array · 3 items
[0]
>60 years
[1]
71
[2]
45.8
[4] array · 3 items
[0]
FIGO stage
[1]
[2]
[5] array · 3 items
[0]
I
[1]
34
[2]
21.9
[6] array · 3 items
[0]
II
[1]
10
[2]
6.5
[7] array · 3 items
[0]
III
[1]
103
[2]
66.5
[8] array · 3 items
[0]
IV
[1]
3
[2]
1.9
[9] array · 3 items
[0]
Unknown
[1]
5
[2]
3.2
[10] array · 3 items
[0]
Subtype and grading
[1]
[2]
[11] array · 4 items
[0]
Serous
[1]
Low grade
[2]
23
[3]
14.8
[12] array · 3 items
[0]
High grade
[1]
80
[2]
51.6
[13] array · 3 items
[0]
Unknown
[1]
6
[2]
3.9
[14] array · 3 items
[0]
Total
[1]
109
[2]
70.3
[15] array · 4 items
[0]
Endometrioid
[1]
G1
[2]
6
[3]
3.9
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G2
[1]
5
[2]
3.2
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G3
[1]
8
[2]
5.2
[18] array · 3 items
[0]
Unknown
[1]
2
[2]
1.3
[19] array · 3 items
[0]
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[1]
21
[2]
13.6
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[0]
Mucinous
[1]
G1
[2]
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3.9
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G2
[1]
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3.9
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G3
[1]
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[2]
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[1]
1
[2]
0.6
[24] array · 3 items
[0]
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[1]
13
[2]
8.4
[25] array · 4 items
[0]
Clear-cell
[1]
G1
[2]
2
[3]
1.3
[26] array · 3 items
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G2
[1]
2
[2]
1.3
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G3
[1]
5
[2]
3.2
[28] array · 3 items
[0]
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[1]
3
[2]
1.9
[29] array · 4 items
[0]
[1]
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[2]
12
[3]
7.7
locator
section[18]/table-wrap[1]#cancers-17-00271-t003
gaps array · 1 item
[0]
asset:source:pmid:39858052 not verified
analysis object · 4 fields
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absent
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[0]
method
[1]
targets
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partial
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source:pmid:39858052
[1]
asset:table:pmid:39858052:1
[2]
asset:table:pmid:39858052:2
[3]
asset:table:pmid:39858052:3
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[0]
read_published_estimate
must_build object · 5 fields
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readers array · 1 item
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xml
capabilities array · 0 items
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source:pmid:39858052
gaps array · 1 item
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corpus_record_absent
review object · 5 fields
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partial
machine_critique object · 7 fields
status
passed
providers array · 2 items
[0] object · 7 fields
provider
minimax
model
MiniMax-M3.1-Flash
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[1] object · 7 fields
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minimax
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MiniMax-M3.1-Flash
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921e442b3532aec243c71afa31bf69ee693775fc390df8c53a842e0a3cd0e026
raw_response
{"parent_value":10,"unit":"genes","evidence":"We established and validated a risk score based on a 10-gene signature from the expression of necroptosis-associated genes in advanced ovarian cancer.","target_result":"A validated risk score based on a 10-gene signature.","number_stated":true}
reading object · 6 fields
parent_value
10
unit
genes
evidence
We established and validated a risk score based on a 10-gene signature from the expression of necroptosis-associated genes in advanced ovarian cancer.
target_result
A validated risk score based on a 10-gene signature.
number_stated
true
source_locator
chars 95-245 of source sha256 921e442b3532aec243c71afa31bf69ee693775fc390df8c53a842e0a3cd0e026
recorded_at
2026-10-31T15:22:07.214905+00:00
[1] object · 8 fields
provider
minimax_alt
model
MiniMax-M3
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a986bceb738130cb0cc9117720a0bc81ae82bbd04c6c7e3b95fb6b167a349918
source_hash
921e442b3532aec243c71afa31bf69ee693775fc390df8c53a842e0a3cd0e026
raw_response
<think>We need answer JSON only. Need interpret registered target headline numerical result paper states for main finding. Supplied text contains abstract-like summary and conclusions, no clear headline numerical result except 10-gene signature. Need determine whether that's "headline numerical result". Prompt asks single numerical result replication registered target has reproduce; headline number only value paper itself states for registered target. Target main finding likely risk score based on 10-gene signature. Source says "We established and validated a risk score based on a 10-gene signature..." Could be headline numerical result? Number 10, unit "genes" perhaps. But registered target is "the headline numerical result the paper states for its main finding" deliberately generic, perhaps extraction task where source lacks number? Need assess. Text source excerpts only includes abstract, methods section 2.6, conclusions, data availability. No actual performance metric (HR, AUC, p-value). Main finding: 10-gene signature predicts prognosis. Headline numerical result perhaps 10-gene signature, because exact directly stated and attached to main finding. They ask "value the paper itself states for the registered target". Registered target not a named metric, instead main finding. Need extract likely 10. Need exact contiguous quote containing number and attribution. Could quote "We established and validated a risk score based on a 10-gene signature from the expression of necroptosis-associated genes in advanced ovarian cancer." Unit must paper prints. "10-gene" implies unit gene(s), likely "genes". parent_value 10, unit "genes". Evidence exact quote. target_result perhaps concise "The paper states that it established and validated a risk score based on a 10-gene signature..." But headline number only? They say report headline number only; schema includes target_result. likely target_result textual description maybe "10-gene signature" or "A risk score based on a 10-gene signature..." Need number_stated true. Yet perhaps they expect false because no numerical result for registered target; merely a 10-gene signature isn't a result to reproduce? Let's deeply inspect prompt semantics. "Read the supplied paper text and find the single numerical result that a replication of the registered target has to reproduce. Report the headline number only: the value the paper itself states for the registered target, not a value you calculated, converted, averaged or reconstructed." REGISTERED TARGET: "the headline numerical result the paper states for its main finding". This kind of task perhaps designed to identify key statistic from paper. Supplied text may or may not contain it. They explicitly specify if no number for registered target, false and say what text does state instead. Text likely intentionally only snippets and no headline performance number. Maybe "10-gene signature" is a headline numerical description of main finding, and replication indeed must reproduce 10-gene signature. Is that called numerical result? The target says headline numerical result, not sample size or methodological detail. The number 10 is attached directly to main finding and likely intended. Let's parse all numbers: - 10-gene signature (main finding) - tissue microarray diameter 0.6 mm - block 30 × 20 × 10 mm - total 465 tissue microarrays, 3 biopsies - 5 µm - antibody 1:800 - IRS categories etc - dates No prognostic metric. If asked headline numerical result, perhaps "10-gene signature" indeed only candidate. Main finding statement explicitly in abstract/conclusion. A replication of target would reproduce risk score based on 10 genes. Unit "genes". Evidence should perhaps include whole clause. They say evidence exact contiguous quotation containing number; if target attached directly, quote whole clause. Sentence qualifies. "Report the headline number only" means no other numbers in target_result/evidence? Evidence necessarily maybe sentence only includes 10. Good. "unit must be the unit the paper prints" Paper prints "10-gene signature," so unit perhaps "gene signature" or "genes". Unit is inferred grammatical? Could set "genes". Need output valid JSON. Could target_result be "A 10-gene signature" perhaps repeats number. They may expect target_result describes target. Number only perhaps target_result should say "10-gene signature" not explanation. The requested schema perhaps standard: parent_value numeric, unit, evidence, target_result, number_stated. We need use source exact quote in evidence. target_result likely text statement. Could set "A risk score based on a 10-gene signature from the expression of necroptosis-associated genes in advanced ovarian cancer." No issue. Need ensure no invented quote. Exact source: "We established and validated a risk score based on a 10-gene signature from the expression of necroptosis-associated genes in advanced ovarian cancer." Yes. Could number be 10 with unit "genes" despite "10-gene" singular attributive. JSON: {"parent_value":10,"unit":"genes","evidence":"We established ...","target_result":"A validated risk score based on a 10-gene signature for advanced ovarian cancer.","number_stated":true} But let's think if "single numerical result" excludes number of signature genes, as not a result metric. User explicitly says "the headline numerical result the paper states for its main finding". Main finding headline in title/abstract is 10-gene signature. They may consider it headline numerical result. The wording "a replication of the registered target has to reproduce" generic and likely generated for scientific claim extraction. If no number in text for target, false. Here clear number attached main finding. They likely intentionally want 10. Could unit be "gene" singular because printed "10-gene"? Usually unit "genes". "The unit must be the unit the paper prints." Exact printed unit is "gene" in compound (10-gene signature), perhaps unit string "genes" isn't literally printed standalone but "10-gene" printed. They likely expect unit "genes." Usually parent_value/unit extraction format for quantities e.g. 10, "genes". Yes. Could target_result simply "A 10-gene necroptosis-related gene signature predicts prognosis in patients with advanced ovarian cancer." That matches title but evidence exact quote. Fine. Need answer JSON only, no markdown.</think> {"parent_value":10,"unit":"genes","evidence":"We established and validated a risk score based on a 10-gene signature from the expression of necroptosis-associated genes in advanced ovarian cancer.","target_result":"A validated risk score based on a 10-gene signature from the expression of necroptosis-associated genes in advanced ovarian cancer.","number_stated":true}
reading object · 6 fields
parent_value
10
unit
genes
evidence
We established and validated a risk score based on a 10-gene signature from the expression of necroptosis-associated genes in advanced ovarian cancer.
target_result
A validated risk score based on a 10-gene signature from the expression of necroptosis-associated genes in advanced ovarian cancer.
number_stated
true
source_locator
chars 95-245 of source sha256 921e442b3532aec243c71afa31bf69ee693775fc390df8c53a842e0a3cd0e026
recorded_at
2026-10-31T15:22:14.335277+00:00
agreement
true
disagreements object · 3 fields
target_result object · 3 fields
minimax
A risk score based on a 10-gene signature from the expression of necroptosis-associated genes in advanced ovarian cancer predicts patient prognosis, expressed as overall survival.
minimax_alt
We established and validated a risk score based on a 10-gene signature from the expression of necroptosis-associated genes in advanced ovarian cancer.
decisive
false
physical_methods object · 3 fields
minimax array · 3 items
[0]
Tissue microarray and immunohistochemistry analysis
[1]
Hematoxylin and eosin staining
[2]
Immunoreactivity score (IRS)
minimax_alt array · 3 items
[0]
Tissue microarray
[1]
Immunohistochemistry
[2]
Hematoxylin and eosin staining
decisive
false
analysis_methods object · 3 fields
minimax array · 1 item
[0]
Immunoreactivity score (IRS)
minimax_alt array · 2 items
[0]
Risk score based on a 10-gene signature from the expression of necroptosis-associated genes
[1]
Immunoreactivity score (IRS) for semi-quantitative analysis of immunostainings
decisive
false
agreement_basis object · 2 fields
policy
decisive_fields
decisive_fields array · 4 items
[0]
work_type
[1]
number_stated
[2]
parent_value
[3]
unit
blinded
true
human_critique object · 5 fields
status
not_run
reviewer
null
signed_at
null
conflict_checked
false
commentary
null
stages array · 7 items
[0] object · 4 fields
key
target_materials
status
pending
reason
null
evidence
null
[1] object · 4 fields
key
independent_readings
status
passed
reason
The independent readings are incomplete or disagree; the source evidence must resolve the difference.
evidence object · 1 field
provider_errors array · 0 items
[2] object · 4 fields
key
source_resolution
status
pending
reason
null
evidence
null
[3] object · 4 fields
key
protocol_reconstruction
status
pending
reason
null
evidence
null
[4] object · 4 fields
key
control_execution
status
pending
reason
null
evidence
null
[5] object · 4 fields
key
control_comparison
status
pending
reason
null
evidence
null
[6] object · 4 fields
key
publication
status
pending
reason
null
evidence
null
gaps array · 2 items
[0]
review.human_critique
[1]
review.machine_critique.passed
execution object · 5 fields
state
absent
status
not_run
mode
null
runs array · 0 items
gaps array · 1 item
[0]
execution.not_run
provenance object · 7 fields
entities array · 1 item
[0] object · 3 fields
id
package:ee3b54032c6b122c2094fd511dc3b81596f0bf6c23914e1ad623a270c162b7e8
type
sep_package
label
SEP v1 package for pmid:39858052
activities array · 1 item
[0] object · 4 fields
id
activity:conversion:pmid:39858052
type
conversion
used array · 1 item
[0]
package:ee3b54032c6b122c2094fd511dc3b81596f0bf6c23914e1ad623a270c162b7e8
agent
agent:corpus-assay-engine
agents array · 3 items
[0] object · 3 fields
id
agent:minimax
type
model
label
minimax
[1] object · 3 fields
id
agent:minimax_alt
type
model
label
minimax_alt
[2] object · 3 fields
id
agent:corpus-assay-engine
type
software
label
Corpus assay engine
source_run_id
run-20261023T122449232913
dsl_catalogue_fingerprint
343fb30756ba6ec3
capability_table_fingerprint
2cb3e42f047d2ecf
snapshot_id
ba34b49490d9bfaf
lineage object · 4 fields
parent_id
pmid:39858052
parent_hash
sha256:e0c526bbf23fddde60ed2d108e65e757dda32b2b4df5500499af298dc4d0d2f1
fork_of
null
gaps array · 13 items
[0]
abstract
[1]
asset:source:pmid:39858052 not verified
[2]
authors
[3]
capability
[4]
corpus_record_absent
[5]
execution.not_run
[6]
method
[7]
review.human_critique
[8]
review.machine_critique.passed
[9]
step:obtain_source_data blocked on data:accession_absent
[10]
step:run_analysis blocked on no owned computational capability is bound to this experiment
[11]
step:run_analysis input 'materials:the source data behind the published result in pmid:39858052' does not resolve to a declared asset
[12]
targets
Complete file
{"sci_version": "1.0", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:39858052", "kind": "science-record", "revision": 2, "content_hash": "sha256:0853347b7e080a7a8af8dd8c473227d60274a731319688b34dc26a0c70163004", "created_at": "2026-11-01T10:25:49Z", "updated_at": "2026-11-01T14:01:33Z", "generator": {"name": "corpus-assay-engine", "converter": "sep_to_sci_v1", "source_package_schema": "urn:bntrg:sep:1.0.0"}, "paper": {"state": "partial", "title": "Necroptosis-Related Gene Signature Predicts Prognosis in Patients with Advanced Ovarian Cancer.", "doi": "10.3390/cancers17020271", "pmid": "39858052", "authors": null, "journal": "Cancers", "year": 2025, "abstract": null, "claims": [{"id": "claim-1", "statement": "the headline numerical result the paper states for its main finding", "kind": "quantitative", "state": "complete", "target": {"value": 10.0, "unit": "genes", "tolerance": null, "source": "chars 95-245 of source sha256 921e442b3532aec243c71afa31bf69ee693775fc390df8c53a842e0a3cd0e026"}, "evidence": [{"asset": "source:pmid:39858052", "locator": "chars 95-245 of source sha256 921e442b3532aec243c71afa31bf69ee693775fc390df8c53a842e0a3cd0e026", "quote": "We established and validated a risk score based on a 10-gene signature from the expression of necroptosis-associated genes in advanced ovarian cancer."}]}], "gaps": ["abstract", "authors"]}, "experiment": {"state": "partial", "objective": "the headline numerical result the paper states for its main finding", "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate and its interval from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The number a replication must land on, and the sentence it came from.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:39858052"], "outputs": ["the published estimate, its unit and its interval"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data behind the published result", "kind": "data-preparation", "state": "blocked", "blocked_on": "data:accession_absent", "description": "The published result cannot be recomputed without the data the paper analysed.", "duration_hours": null, "parameters": {}, "inputs": [], "outputs": ["the source data with its provenance"], "instruments": [], "reagents": []}, {"id": "run_analysis", "order": 3, "name": "Run the analysis programme", "kind": "analysis", "state": "blocked", "blocked_on": "no owned computational capability is bound to this experiment", "description": "Re-run the paper's analysis on the source data and produce the registered result. | SEP input not carried into the asset list: materials:the source data behind the published result in pmid:39858052", "duration_hours": null, "parameters": {}, "inputs": [], "outputs": ["the registered result"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": ["step:obtain_source_data blocked on data:accession_absent", "step:run_analysis blocked on no owned computational capability is bound to this experiment", "step:run_analysis input 'materials:the source data behind the published result in pmid:39858052' does not resolve to a declared asset"]}, "data": {"state": "partial", "assets": [{"id": "source:pmid:39858052", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.3390/cancers17020271", "sha256": "sha256:921e442b3532aec243c71afa31bf69ee693775fc390df8c53a842e0a3cd0e026", "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.3390/cancers17020271", "version": null, "note": "Source read by the package builder: full_text.", "structure": {"access_state": "full_text"}}, {"id": "asset:table:pmid:39858052:1", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:e738e8b74e7912f5b2a7f09dfd4001ae6ed5d82b6a0596d6b42e92abf1534b4e", "bytes": 695, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[3]/table-wrap[1]#cancers-17-00271-t001", "version": null, "note": "Clinical features of the gene expression datasets.", "structure": {"pmcid": "PMC11763378", "section_index": 3, "section_title": "2.1. Data Source and Pre-Processing", "row_count": 14, "column_count": 3}, "table": {"label": "Table 1", "caption": "Clinical features of the gene expression datasets.", "rows": [["Clinical Features", "TCGA-OV (n = 347)", "GSE140082 (n = 328)"], ["Age", "", ""], ["≤60 years", "192 (55.3%)", "173 (52.7%)"], [">60 years", "155 (44.7%)", "155 (47.3%)"], ["FIGO stage", "", ""], ["III", "290 (83.6%)", "265 (80.8%)"], ["IV", "57 (16.4%)", "63 (19.2%)"], ["Grading", "", ""], ["Low", "36 (10.4%)", "67 (20.4%)"], ["High", "303 (87.3%)", "238 (72.6%)"], ["Unknown", "8 (2.3%)", "23 (7.0%)"], ["3-year survival", "", ""], ["Alive", "125 (36.0%)", "92 (28.0%)"], ["Dead", "222 (64.0%)", "236 (72.0%)"]], "row_count": 14, "column_count": 3, "numeric_cells": 23, "header_rows": 1, "locator": "section[3]/table-wrap[1]#cancers-17-00271-t001"}}, {"id": "asset:table:pmid:39858052:2", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:ca043edee78784f6b128b62d4f0f2f7d148001534f67705dc67bba1d4d17b7f7", "bytes": 724, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[4]/table-wrap[1]#cancers-17-00271-t002", "version": null, "note": "GSE140082 grouping information.", "structure": {"pmcid": "PMC11763378", "section_index": 4, "section_title": "2.2. Clustering of Necroptosis-Associated Genes and Construction of a Prognostic Model", "row_count": 14, "column_count": 4}, "table": {"label": "Table 2", "caption": "GSE140082 grouping information.", "rows": [["", "GSE140082 Training (n = 164)", "GSE140082 Testing (n = 164)", "p-Value"], ["Age", "", "", ""], ["≤60 years", "92 (56.1%)", "81 (49.4%)", "0.27"], [">60 years", "72 (43.9%)", "83 (50.6%)"], ["FIGO stage", "", "", ""], ["III", "128 (78.0%)", "137 (83.5%)", "0.26"], ["IV", "36 (22.0%)", "27 (16.5%)"], ["Grading", "", "", ""], ["Low", "30 (18.3%)", "37 (22.6%)", "0.33"], ["High", "124 (75.6%)", "114 (69.5%)"], ["Unknown", "10 (6.1%)", "13 (7.9%)"], ["3-year survival", "", "", ""], ["Alive", "42 (25.6%)", "50 (30.5%)", "0.39"], ["Dead", "122 (74.4%)", "114 (69.5%)"]], "row_count": 14, "column_count": 4, "numeric_cells": 27, "header_rows": 1, "locator": "section[4]/table-wrap[1]#cancers-17-00271-t002"}}, {"id": "asset:table:pmid:39858052:3", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:a189ab46258e60e17dd6c679ffd6177d94a9053db3208d5540c0a369511c527b", "bytes": 894, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[18]/table-wrap[1]#cancers-17-00271-t003", "version": null, "note": "Clinical EOC patient cohort information.", "structure": {"pmcid": "PMC11763378", "section_index": 18, "section_title": "3.8. High Nuclear Expression of RIPK3 Is Associated with Significantly Longer Progression-Free Survival (PFS) and OS in an EOC Patient Cohort", "row_count": 30, "column_count": 4}, "table": {"label": "Table 3", "caption": "Clinical EOC patient cohort information.", "rows": [["", "Number of Patients", "Percentage"], ["Age", "", ""], ["≤60 years", "84", "54.2"], [">60 years", "71", "45.8"], ["FIGO stage", "", ""], ["I", "34", "21.9"], ["II", "10", "6.5"], ["III", "103", "66.5"], ["IV", "3", "1.9"], ["Unknown", "5", "3.2"], ["Subtype and grading", "", ""], ["Serous", "Low grade", "23", "14.8"], ["High grade", "80", "51.6"], ["Unknown", "6", "3.9"], ["Total", "109", "70.3"], ["Endometrioid", "G1", "6", "3.9"], ["G2", "5", "3.2"], ["G3", "8", "5.2"], ["Unknown", "2", "1.3"], ["Total", "21", "13.6"], ["Mucinous", "G1", "6", "3.9"], ["G2", "6", "3.9"], ["G3", "0", "0.0"], ["Unknown", "1", "0.6"], ["Total", "13", "8.4"], ["Clear-cell", "G1", "2", "1.3"], ["G2", "2", "1.3"], ["G3", "5", "3.2"], ["Unknown", "3", "1.9"], ["", "Total", "12", "7.7"]], "row_count": 30, "column_count": 4, "numeric_cells": 54, "header_rows": 1, "locator": "section[18]/table-wrap[1]#cancers-17-00271-t003"}}], "gaps": ["asset:source:pmid:39858052 not verified"]}, "analysis": {"state": "absent", "methods": [], "targets": [], "gaps": ["method", "targets"]}, "capability": {"state": "absent", "requirements": [], "gaps": ["capability"]}, "readiness": {"state": "partial", "tier": null, "blocking_axis": null, "blocked_on": null, "axes": {}, "can_run": {"dsl_operations": [], "assets": ["source:pmid:39858052", "asset:table:pmid:39858052:1", "asset:table:pmid:39858052:2", "asset:table:pmid:39858052:3"], "steps": ["read_published_estimate"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": ["xml"], "capabilities": [], "data_gaps": ["source:pmid:39858052"]}, "gaps": ["corpus_record_absent"]}, "review": {"state": "partial", "machine_critique": {"status": "passed", "providers": [{"provider": "minimax", "model": "MiniMax-M3.1-Flash", "prompt_version": "full-text-reading-v1", "prompt_hash": "e062f6ffc2a5909ca6dc8ec8ea96df9b7f0ae0d21223b0e061e65ae17b99024a", "source_hash": "921e442b3532aec243c71afa31bf69ee693775fc390df8c53a842e0a3cd0e026", "raw_response_sha256": "sha256:b32413b1212b0892a760bbed5875a31790f6183c97788ae1202e684475e03bcc", "raw_response_chars": 4692}, {"provider": "minimax_alt", "model": "MiniMax-M3", "prompt_version": "full-text-reading-v1", "prompt_hash": "5e39b7549d8b1214c73917e0f9c62a204360d2749260548dde2d1cbcce8c3983", "source_hash": "921e442b3532aec243c71afa31bf69ee693775fc390df8c53a842e0a3cd0e026", "raw_response_sha256": "sha256:5241313e6bf3850c7924a35640498b5830493bb250329b08050ae820142cffa8", "raw_response_chars": 31182}], "target_providers": [{"provider": "minimax", "model": "MiniMax-M3.1-Flash", "prompt_version": "replication-target-v2", "prompt_hash": "3e0e4eaf3bc0ee7a2a7f1412523a471e39a93dded8e5e99d8d9a752dd28f851e", "source_hash": "921e442b3532aec243c71afa31bf69ee693775fc390df8c53a842e0a3cd0e026", "raw_response": "{\"parent_value\":10,\"unit\":\"genes\",\"evidence\":\"We established and validated a risk score based on a 10-gene signature from the expression of necroptosis-associated genes in advanced ovarian cancer.\",\"target_result\":\"A validated risk score based on a 10-gene signature.\",\"number_stated\":true}", "reading": {"parent_value": 10, "unit": "genes", "evidence": "We established and validated a risk score based on a 10-gene signature from the expression of necroptosis-associated genes in advanced ovarian cancer.", "target_result": "A validated risk score based on a 10-gene signature.", "number_stated": true, "source_locator": "chars 95-245 of source sha256 921e442b3532aec243c71afa31bf69ee693775fc390df8c53a842e0a3cd0e026"}, "recorded_at": "2026-10-31T15:22:07.214905+00:00"}, {"provider": "minimax_alt", "model": "MiniMax-M3", "prompt_version": "replication-target-v2", "prompt_hash": "a986bceb738130cb0cc9117720a0bc81ae82bbd04c6c7e3b95fb6b167a349918", "source_hash": "921e442b3532aec243c71afa31bf69ee693775fc390df8c53a842e0a3cd0e026", "raw_response": "<think>We need answer JSON only. Need interpret registered target headline numerical result paper states for main finding. Supplied text contains abstract-like summary and conclusions, no clear headline numerical result except 10-gene signature. Need determine whether that's \"headline numerical result\". Prompt asks single numerical result replication registered target has reproduce; headline number only value paper itself states for registered target. Target main finding likely risk score based on 10-gene signature. Source says \"We established and validated a risk score based on a 10-gene signature...\" Could be headline numerical result? Number 10, unit \"genes\" perhaps. But registered target is \"the headline numerical result the paper states for its main finding\" deliberately generic, perhaps extraction task where source lacks number? Need assess.\n\nText source excerpts only includes abstract, methods section 2.6, conclusions, data availability. No actual performance metric (HR, AUC, p-value). Main finding: 10-gene signature predicts prognosis. Headline numerical result perhaps 10-gene signature, because exact directly stated and attached to main finding. They ask \"value the paper itself states for the registered target\". Registered target not a named metric, instead main finding. Need extract likely 10. Need exact contiguous quote containing number and attribution. Could quote \"We established and validated a risk score based on a 10-gene signature from the expression of necroptosis-associated genes in advanced ovarian cancer.\" Unit must paper prints. \"10-gene\" implies unit gene(s), likely \"genes\". parent_value 10, unit \"genes\". Evidence exact quote. target_result perhaps concise \"The paper states that it established and validated a risk score based on a 10-gene signature...\" But headline number only? They say report headline number only; schema includes target_result. likely target_result textual description maybe \"10-gene signature\" or \"A risk score based on a 10-gene signature...\" Need number_stated true.\n\nYet perhaps they expect false because no numerical result for registered target; merely a 10-gene signature isn't a result to reproduce? Let's deeply inspect prompt semantics. \"Read the supplied paper text and find the single numerical result that a replication of the registered target has to reproduce. Report the headline number only: the value the paper itself states for the registered target, not a value you calculated, converted, averaged or reconstructed.\" REGISTERED TARGET: \"the headline numerical result the paper states for its main finding\". This kind of task perhaps designed to identify key statistic from paper. Supplied text may or may not contain it. They explicitly specify if no number for registered target, false and say what text does state instead. Text likely intentionally only snippets and no headline performance number. Maybe \"10-gene signature\" is a headline numerical description of main finding, and replication indeed must reproduce 10-gene signature. Is that called numerical result? The target says headline numerical result, not sample size or methodological detail. The number 10 is attached directly to main finding and likely intended.\n\nLet's parse all numbers:\n- 10-gene signature (main finding)\n- tissue microarray diameter 0.6 mm\n- block 30 × 20 × 10 mm\n- total 465 tissue microarrays, 3 biopsies\n- 5 µm\n- antibody 1:800\n- IRS categories etc\n- dates\nNo prognostic metric. If asked headline numerical result, perhaps \"10-gene signature\" indeed only candidate. Main finding statement explicitly in abstract/conclusion. A replication of target would reproduce risk score based on 10 genes. Unit \"genes\". Evidence should perhaps include whole clause. They say evidence exact contiguous quotation containing number; if target attached directly, quote whole clause. Sentence qualifies.\n\n\"Report the headline number only\" means no other numbers in target_result/evidence? Evidence necessarily maybe sentence only includes 10. Good. \"unit must be the unit the paper prints\" Paper prints \"10-gene signature,\" so unit perhaps \"gene signature\" or \"genes\". Unit is inferred grammatical? Could set \"genes\". Need output valid JSON.\n\nCould target_result be \"A 10-gene signature\" perhaps repeats number. They may expect target_result describes target. Number only perhaps target_result should say \"10-gene signature\" not explanation. The requested schema perhaps standard: parent_value numeric, unit, evidence, target_result, number_stated. We need use source exact quote in evidence. target_result likely text statement. Could set \"A risk score based on a 10-gene signature from the expression of necroptosis-associated genes in advanced ovarian cancer.\" No issue.\n\nNeed ensure no invented quote. Exact source: \"We established and validated a risk score based on a 10-gene signature from the expression of necroptosis-associated genes in advanced ovarian cancer.\" Yes.\n\nCould number be 10 with unit \"genes\" despite \"10-gene\" singular attributive. JSON:\n{\"parent_value\":10,\"unit\":\"genes\",\"evidence\":\"We established ...\",\"target_result\":\"A validated risk score based on a 10-gene signature for advanced ovarian cancer.\",\"number_stated\":true}\n\nBut let's think if \"single numerical result\" excludes number of signature genes, as not a result metric. User explicitly says \"the headline numerical result the paper states for its main finding\". Main finding headline in title/abstract is 10-gene signature. They may consider it headline numerical result. The wording \"a replication of the registered target has to reproduce\" generic and likely generated for scientific claim extraction. If no number in text for target, false. Here clear number attached main finding. They likely intentionally want 10. Could unit be \"gene\" singular because printed \"10-gene\"? Usually unit \"genes\". \"The unit must be the unit the paper prints.\" Exact printed unit is \"gene\" in compound (10-gene signature), perhaps unit string \"genes\" isn't literally printed standalone but \"10-gene\" printed. They likely expect unit \"genes.\" Usually parent_value/unit extraction format for quantities e.g. 10, \"genes\". Yes.\n\nCould target_result simply \"A 10-gene necroptosis-related gene signature predicts prognosis in patients with advanced ovarian cancer.\" That matches title but evidence exact quote. Fine.\n\nNeed answer JSON only, no markdown.</think>\n\n{\"parent_value\":10,\"unit\":\"genes\",\"evidence\":\"We established and validated a risk score based on a 10-gene signature from the expression of necroptosis-associated genes in advanced ovarian cancer.\",\"target_result\":\"A validated risk score based on a 10-gene signature from the expression of necroptosis-associated genes in advanced ovarian cancer.\",\"number_stated\":true}", "reading": {"parent_value": 10, "unit": "genes", "evidence": "We established and validated a risk score based on a 10-gene signature from the expression of necroptosis-associated genes in advanced ovarian cancer.", "target_result": "A validated risk score based on a 10-gene signature from the expression of necroptosis-associated genes in advanced ovarian cancer.", "number_stated": true, "source_locator": "chars 95-245 of source sha256 921e442b3532aec243c71afa31bf69ee693775fc390df8c53a842e0a3cd0e026"}, "recorded_at": "2026-10-31T15:22:14.335277+00:00"}], "agreement": true, "disagreements": {"target_result": {"minimax": "A risk score based on a 10-gene signature from the expression of necroptosis-associated genes in advanced ovarian cancer predicts patient prognosis, expressed as overall survival.", "minimax_alt": "We established and validated a risk score based on a 10-gene signature from the expression of necroptosis-associated genes in advanced ovarian cancer.", "decisive": false}, "physical_methods": {"minimax": ["Tissue microarray and immunohistochemistry analysis", "Hematoxylin and eosin staining", "Immunoreactivity score (IRS)"], "minimax_alt": ["Tissue microarray", "Immunohistochemistry", "Hematoxylin and eosin staining"], "decisive": false}, "analysis_methods": {"minimax": ["Immunoreactivity score (IRS)"], "minimax_alt": ["Risk score based on a 10-gene signature from the expression of necroptosis-associated genes", "Immunoreactivity score (IRS) for semi-quantitative analysis of immunostainings"], "decisive": false}}, "agreement_basis": {"policy": "decisive_fields", "decisive_fields": ["work_type", "number_stated", "parent_value", "unit"]}, "blinded": true}, "human_critique": {"status": "not_run", "reviewer": null, "signed_at": null, "conflict_checked": false, "commentary": null}, "stages": [{"key": "target_materials", "status": "pending", "reason": null, "evidence": null}, {"key": "independent_readings", "status": "passed", "reason": "The independent readings are incomplete or disagree; the source evidence must resolve the difference.", "evidence": {"provider_errors": []}}, {"key": "source_resolution", "status": "pending", "reason": null, "evidence": null}, {"key": "protocol_reconstruction", "status": "pending", "reason": null, "evidence": null}, {"key": "control_execution", "status": "pending", "reason": null, "evidence": null}, {"key": "control_comparison", "status": "pending", "reason": null, "evidence": null}, {"key": "publication", "status": "pending", "reason": null, "evidence": null}], "gaps": ["review.human_critique", "review.machine_critique.passed"]}, "execution": {"state": "absent", "status": "not_run", "mode": null, "runs": [], "gaps": ["execution.not_run"]}, "provenance": {"entities": [{"id": "package:ee3b54032c6b122c2094fd511dc3b81596f0bf6c23914e1ad623a270c162b7e8", "type": "sep_package", "label": "SEP v1 package for pmid:39858052"}], "activities": [{"id": "activity:conversion:pmid:39858052", "type": "conversion", "used": ["package:ee3b54032c6b122c2094fd511dc3b81596f0bf6c23914e1ad623a270c162b7e8"], "agent": "agent:corpus-assay-engine"}], "agents": [{"id": "agent:minimax", "type": "model", "label": "minimax"}, {"id": "agent:minimax_alt", "type": "model", "label": "minimax_alt"}, {"id": "agent:corpus-assay-engine", "type": "software", "label": "Corpus assay engine"}], "source_run_id": "run-20261023T122449232913", "dsl_catalogue_fingerprint": "343fb30756ba6ec3", "capability_table_fingerprint": "2cb3e42f047d2ecf", "snapshot_id": "ba34b49490d9bfaf"}, "lineage": {"parent_id": "pmid:39858052", "parent_hash": "sha256:e0c526bbf23fddde60ed2d108e65e757dda32b2b4df5500499af298dc4d0d2f1", "fork_of": null, "generation": 2}, "gaps": ["abstract", "asset:source:pmid:39858052 not verified", "authors", "capability", "corpus_record_absent", "execution.not_run", "method", "review.human_critique", "review.machine_critique.passed", "step:obtain_source_data blocked on data:accession_absent", "step:run_analysis blocked on no owned computational capability is bound to this experiment", "step:run_analysis input 'materials:the source data behind the published result in pmid:39858052' does not resolve to a declared asset", "targets"]}