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pmid:40108606

Fatty acid metabolism related gene MECR contributes to the progression of prostate cancer.

Cancer cell international · 2025 doi:10.1186/s12935-025-03738-6

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:40108606
kind
science-record
content_hash
sha256:580fb17bd6a6078d4faee86a9f16ed139defa17e1515bda35ef15703affdbfa6
schema
https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T10:25:50Z
updated_at
2026-11-01T10:25:50Z
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
Fatty acid metabolism related gene MECR contributes to the progression of prostate cancer.
doi
10.1186/s12935-025-03738-6
pmid
40108606
authors
null
journal
Cancer cell international
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
qualitative
state
blocked
target object · 4 fields
value
null
unit
null
tolerance
null
source
null
evidence array · 0 items
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:40108606
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:not_downloaded
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:40108606
parameters object · 0 fields
inputs array · 0 items
outputs array · 1 item
[0]
the registered result
instruments array · 0 items
reagents array · 0 items
materials array · 0 items
instruments array · 0 items
reagents array · 0 items
conditions object · 0 fields
gaps array · 3 items
[0]
step:obtain_source_data blocked on data:not_downloaded
[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:40108606' does not resolve to a declared asset
data object · 3 fields
state
partial
assets array · 1 item
[0] object · 15 fields
id
source:pmid:40108606
role
manuscript
format
xml
media_type
application/xml
uri
https://doi.org/10.1186/s12935-025-03738-6
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sha256:106e7afb2b98a56a724d9f914360bdf3bd3913d2a5d5de86722c03c17022f344
bytes
null
access
open
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resolved
reader
null
reader_status
reader_required
identifier
10.1186/s12935-025-03738-6
version
null
note
Source read by the package builder: full_text.
structure object · 1 field
access_state
full_text
gaps array · 1 item
[0]
asset:source:pmid:40108606 not verified
analysis object · 4 fields
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absent
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[0]
method
[1]
targets
capability object · 3 fields
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absent
requirements array · 0 items
gaps array · 1 item
[0]
capability
readiness object · 8 fields
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partial
tier
null
blocked_on
null
axes object · 0 fields
can_run object · 3 fields
dsl_operations array · 0 items
assets array · 1 item
[0]
source:pmid:40108606
steps array · 1 item
[0]
read_published_estimate
must_build object · 5 fields
dsl_operations array · 0 items
converters array · 0 items
readers array · 1 item
[0]
xml
capabilities array · 0 items
data_gaps array · 1 item
[0]
source:pmid:40108606
gaps array · 1 item
[0]
corpus_record_absent
review object · 5 fields
state
partial
machine_critique object · 7 fields
status
passed
providers array · 2 items
[0] object · 7 fields
provider
minimax
model
MiniMax-M3.1-Flash
prompt_version
full-text-reading-v1
prompt_hash
7c2c3a8047633ff1632244b307dd37aab203b73e4ee962c4c3c9048bcf388af2
source_hash
106e7afb2b98a56a724d9f914360bdf3bd3913d2a5d5de86722c03c17022f344
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sha256:8fb5191030c9f6388d5429504edb3c5e588c25479805c57ae8153ae34ee36758
raw_response_chars
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[1] object · 7 fields
provider
minimax_alt
model
MiniMax-M3
prompt_version
full-text-reading-v1
prompt_hash
da3631f3c7d7a32e67e16382a0d72d480acedc983fbee4ccfd398cf2563ecceb
source_hash
106e7afb2b98a56a724d9f914360bdf3bd3913d2a5d5de86722c03c17022f344
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sha256:778d19a1649bed0f65c269aca3727172b5ad0443fc543440179d33cf16af9b44
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[0] object · 8 fields
provider
minimax
model
MiniMax-M3.1-Flash
prompt_version
replication-target-v2
prompt_hash
173d2cb5ae91b1565aa47541659bdcc43d354c6d385deb09ea8f198a3612634f
source_hash
106e7afb2b98a56a724d9f914360bdf3bd3913d2a5d5de86722c03c17022f344
raw_response
{"parent_value":0,"unit":"","evidence":"","target_result":"The text states that MECR is significantly associated with clinical features, survival outcomes, and prognosis in prostate cancer, and that the in vitro and in vivo data indicated that MECR plays a role in prostate cancer proliferation, migration, and invasion, but it gives no headline numerical result for this main finding.","number_stated":false}
reading object · 6 fields
parent_value
0
unit
evidence
target_result
The text states that MECR is significantly associated with clinical features, survival outcomes, and prognosis in prostate cancer, and that the in vitro and in vivo data indicated that MECR plays a role in prostate cancer proliferation, migration, and invasion, but it gives no headline numerical result for this main finding.
number_stated
false
source_locator
null
recorded_at
2026-10-31T15:35:48.921520+00:00
[1] object · 8 fields
provider
minimax_alt
model
MiniMax-M3
prompt_version
replication-target-v2
prompt_hash
535b40bec04a85b9e15b2325e3c0ad8a9f449b2c3f44fd119294f540825bc947
source_hash
106e7afb2b98a56a724d9f914360bdf3bd3913d2a5d5de86722c03c17022f344
raw_response
<think>We need answer JSON only. Need inspect source. User asks "single numerical result that a replication of registered target has to reproduce. headline numerical result paper states for main finding." Source is abstract/results largely qualitative. Numerical values include 92 genes, cutoffs, pathways NES etc. Registered target is headline numerical result paper states for main finding. Likely no number for main finding. Need set number_stated false parent_value 0 unit/evidence empty, target_result says text states qualitative finding instead. Need exact JSON schema. Need be cautious: Maybe headline numerical result is 92? "Dataset GSE6919 ... 92 human fatty acid metabolism-related genes were identified". But registered target wording is "the headline numerical result the paper states for its main finding". The abstract/result says MECR associated etc but no specific numerical metric. They explicitly allow if no number for registered target. So false. target_result could say "The text states that MECR expression is significantly associated with clinical features, survival outcomes, and prognosis in PCa, and that in vitro and in vivo data indicate a role in proliferation, migration, and invasion, but it gives no headline numerical result." Need no evidence since empty. Is target_result expected headline? "say in target_result what the text does state instead." We can quote or summarize? No restriction perhaps. Better exact source wording perhaps: "The text states that ...". But maybe they demand only claims from source. We can use exact contiguous quotation? The evidence must empty if no number. target_result can state source wording. Ensure valid JSON and no markdown.</think> {"parent_value":0,"unit":"","evidence":"","target_result":"The text states that MECR expression is significantly associated with clinical features, survival outcomes, and prognosis in prostate cancer, and that in vitro and in vivo data indicate that MECR plays a role in proliferation, migration, and invasion; no headline numerical result is stated for this main finding.","number_stated":false}
reading object · 6 fields
parent_value
0
unit
evidence
target_result
The text states that MECR expression is significantly associated with clinical features, survival outcomes, and prognosis in prostate cancer, and that in vitro and in vivo data indicate that MECR plays a role in proliferation, migration, and invasion; no headline numerical result is stated for this main finding.
number_stated
false
source_locator
null
recorded_at
2026-10-31T15:35:51.316619+00:00
agreement
true
disagreements object · 2 fields
target_result object · 3 fields
minimax
Differential analysis of MECR combined with GSEA enrichment analysis in the TCGA-PRAD cohort identified WP_PI3KAKT_SIGNALING_PATHWAY (NES = −1.370, p.adj = 0.046, FDR = 0.035), WP_ADIPOGENESIS (NES = −1.561, p.adj = 0.046, FDR = 0.035), and PID_AP1_PATHWAY (NES = −1.702, p.adj = 0.046, FDR = 0.035).
minimax_alt
unclear as a single headline numerical result for the overall MECR finding; the clearest explicit quantitative MECR result is that differential analysis of MECR single genes combined with GSEA in the TCGA-PRAD cohort identified WP_PI3KAKT_SIGNALING_PATHWAY (NES = −1.370, p.adj = 0.046, FDR = 0.035), WP_ADIPOGENESIS (NES = −1.561, p.adj = 0.046, FDR = 0.035), and PID_AP1_PATHWAY (NES = −1.702, p.adj = 0.046, FDR = 0.035).
decisive
false
analysis_methods object · 3 fields
minimax array · 6 items
[0]
R package ‘limma’ for differential expression analysis
[1]
GSEA enrichment analysis
[2]
univariate and multivariate Cox regression analyses
[3]
independent t-test
[4]
Kruskal Wallis test
[5]
Spearman correlation analysis
minimax_alt array · 14 items
[0]
Differential-expression analysis of fatty acid metabolism-related genes using R package ‘limma’
[1]
Z-score normalization
[2]
Venn and Volcano diagram generation using ImageGP
[3]
Gene Ontology (GO) and Kyoto Genome Encyclopedia (KEGG) enrichment analysis using ClusterProfiler
[4]
Gene Set Enrichment Analysis (GSEA)
[5]
TIMER differential-expression analysis
[6]
TIMER immune-cell infiltration analysis
[7]
cBioPortal mutational-profile analysis
[8]
UALCAN methylation analysis
[9]
Univariate and multivariate Cox regression using R package 'survival'
[10]
Independent t-test
[11]
Kruskal Wallis test
[12]
Spearman correlation analysis
[13]
R software analysis of correlations between gene expression, TMB, and MSI
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
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reviewer
null
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null
conflict_checked
false
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null
stages array · 7 items
[0] object · 4 fields
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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
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protocol_reconstruction
status
pending
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null
evidence
null
[4] object · 4 fields
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control_execution
status
pending
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null
evidence
null
[5] object · 4 fields
key
control_comparison
status
pending
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null
evidence
null
[6] object · 4 fields
key
publication
status
pending
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null
evidence
null
gaps array · 2 items
[0]
review.human_critique
[1]
review.machine_critique.passed
execution object · 5 fields
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absent
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null
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provenance object · 7 fields
entities array · 1 item
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id
package:f79145fea23e424baf52705fd1fe7ed68038bc8990ab26e26eb19bc95c805a5b
type
sep_package
label
SEP v1 package for pmid:40108606
activities array · 1 item
[0] object · 4 fields
id
activity:conversion:pmid:40108606
type
conversion
used array · 1 item
[0]
package:f79145fea23e424baf52705fd1fe7ed68038bc8990ab26e26eb19bc95c805a5b
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
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software
label
Corpus assay engine
source_run_id
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dsl_catalogue_fingerprint
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capability_table_fingerprint
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snapshot_id
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lineage object · 4 fields
parent_id
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parent_hash
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fork_of
null
gaps array · 13 items
[0]
abstract
[1]
asset:source:pmid:40108606 not verified
[2]
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review.human_critique
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review.machine_critique.passed
[9]
step:obtain_source_data blocked on data:not_downloaded
[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:40108606' does not resolve to a declared asset
[12]
targets
Complete file
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"capabilities": [], "data_gaps": ["source:pmid:40108606"]}, "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": "7c2c3a8047633ff1632244b307dd37aab203b73e4ee962c4c3c9048bcf388af2", "source_hash": "106e7afb2b98a56a724d9f914360bdf3bd3913d2a5d5de86722c03c17022f344", "raw_response_sha256": "sha256:8fb5191030c9f6388d5429504edb3c5e588c25479805c57ae8153ae34ee36758", "raw_response_chars": 4326}, {"provider": "minimax_alt", "model": "MiniMax-M3", "prompt_version": "full-text-reading-v1", "prompt_hash": "da3631f3c7d7a32e67e16382a0d72d480acedc983fbee4ccfd398cf2563ecceb", "source_hash": "106e7afb2b98a56a724d9f914360bdf3bd3913d2a5d5de86722c03c17022f344", "raw_response_sha256": "sha256:778d19a1649bed0f65c269aca3727172b5ad0443fc543440179d33cf16af9b44", "raw_response_chars": 73549}], "target_providers": [{"provider": "minimax", "model": "MiniMax-M3.1-Flash", "prompt_version": "replication-target-v2", "prompt_hash": "173d2cb5ae91b1565aa47541659bdcc43d354c6d385deb09ea8f198a3612634f", "source_hash": "106e7afb2b98a56a724d9f914360bdf3bd3913d2a5d5de86722c03c17022f344", "raw_response": "{\"parent_value\":0,\"unit\":\"\",\"evidence\":\"\",\"target_result\":\"The text states that MECR is significantly associated with clinical features, survival outcomes, and prognosis in prostate cancer, and that the in vitro and in vivo data indicated that MECR plays a role in prostate cancer proliferation, migration, and invasion, but it gives no headline numerical result for this main finding.\",\"number_stated\":false}", "reading": {"parent_value": 0, "unit": "", "evidence": "", "target_result": "The text states that MECR is significantly associated with clinical features, survival outcomes, and prognosis in prostate cancer, and that the in vitro and in vivo data indicated that MECR plays a role in prostate cancer proliferation, migration, and invasion, but it gives no headline numerical result for this main finding.", "number_stated": false, "source_locator": null}, "recorded_at": "2026-10-31T15:35:48.921520+00:00"}, {"provider": "minimax_alt", "model": "MiniMax-M3", "prompt_version": "replication-target-v2", "prompt_hash": "535b40bec04a85b9e15b2325e3c0ad8a9f449b2c3f44fd119294f540825bc947", "source_hash": "106e7afb2b98a56a724d9f914360bdf3bd3913d2a5d5de86722c03c17022f344", "raw_response": "<think>We need answer JSON only. Need inspect source. User asks \"single numerical result that a replication of registered target has to reproduce. headline numerical result paper states for main finding.\" Source is abstract/results largely qualitative. Numerical values include 92 genes, cutoffs, pathways NES etc. Registered target is headline numerical result paper states for main finding. Likely no number for main finding. Need set number_stated false parent_value 0 unit/evidence empty, target_result says text states qualitative finding instead. Need exact JSON schema. Need be cautious: Maybe headline numerical result is 92? \"Dataset GSE6919 ... 92 human fatty acid metabolism-related genes were identified\". But registered target wording is \"the headline numerical result the paper states for its main finding\". The abstract/result says MECR associated etc but no specific numerical metric. They explicitly allow if no number for registered target. So false.\n\ntarget_result could say \"The text states that MECR expression is significantly associated with clinical features, survival outcomes, and prognosis in PCa, and that in vitro and in vivo data indicate a role in proliferation, migration, and invasion, but it gives no headline numerical result.\" Need no evidence since empty. Is target_result expected headline? \"say in target_result what the text does state instead.\" We can quote or summarize? No restriction perhaps. Better exact source wording perhaps: \"The text states that ...\". But maybe they demand only claims from source. We can use exact contiguous quotation? The evidence must empty if no number. target_result can state source wording. Ensure valid JSON and no markdown.</think>\n\n{\"parent_value\":0,\"unit\":\"\",\"evidence\":\"\",\"target_result\":\"The text states that MECR expression is significantly associated with clinical features, survival outcomes, and prognosis in prostate cancer, and that in vitro and in vivo data indicate that MECR plays a role in proliferation, migration, and invasion; no headline numerical result is stated for this main finding.\",\"number_stated\":false}", "reading": {"parent_value": 0, "unit": "", "evidence": "", "target_result": "The text states that MECR expression is significantly associated with clinical features, survival outcomes, and prognosis in prostate cancer, and that in vitro and in vivo data indicate that MECR plays a role in proliferation, migration, and invasion; no headline numerical result is stated for this main finding.", "number_stated": false, "source_locator": null}, "recorded_at": "2026-10-31T15:35:51.316619+00:00"}], "agreement": true, "disagreements": {"target_result": {"minimax": "Differential analysis of MECR combined with GSEA enrichment analysis in the TCGA-PRAD cohort identified WP_PI3KAKT_SIGNALING_PATHWAY (NES = −1.370, p.adj = 0.046, FDR = 0.035), WP_ADIPOGENESIS (NES = −1.561, p.adj = 0.046, FDR = 0.035), and PID_AP1_PATHWAY (NES = −1.702, p.adj = 0.046, FDR = 0.035).", "minimax_alt": "unclear as a single headline numerical result for the overall MECR finding; the clearest explicit quantitative MECR result is that differential analysis of MECR single genes combined with GSEA in the TCGA-PRAD cohort identified WP_PI3KAKT_SIGNALING_PATHWAY (NES = −1.370, p.adj = 0.046, FDR = 0.035), WP_ADIPOGENESIS (NES = −1.561, p.adj = 0.046, FDR = 0.035), and PID_AP1_PATHWAY (NES = −1.702, p.adj = 0.046, FDR = 0.035).", "decisive": false}, "analysis_methods": {"minimax": ["R package ‘limma’ for differential expression analysis", "GSEA enrichment analysis", "univariate and multivariate Cox regression analyses", "independent t-test", "Kruskal Wallis test", "Spearman correlation analysis"], "minimax_alt": ["Differential-expression analysis of fatty acid metabolism-related genes using R package ‘limma’", "Z-score normalization", "Venn and Volcano diagram generation using ImageGP", "Gene Ontology (GO) and Kyoto Genome Encyclopedia (KEGG) enrichment analysis using ClusterProfiler", "Gene Set Enrichment Analysis (GSEA)", "TIMER differential-expression analysis", "TIMER immune-cell infiltration analysis", "cBioPortal mutational-profile analysis", "UALCAN methylation analysis", "Univariate and multivariate Cox regression using R package 'survival'", "Independent t-test", "Kruskal Wallis test", "Spearman correlation analysis", "R software analysis of correlations between gene expression, TMB, and MSI"], "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:f79145fea23e424baf52705fd1fe7ed68038bc8990ab26e26eb19bc95c805a5b", "type": "sep_package", "label": "SEP v1 package for pmid:40108606"}], "activities": [{"id": "activity:conversion:pmid:40108606", "type": "conversion", "used": ["package:f79145fea23e424baf52705fd1fe7ed68038bc8990ab26e26eb19bc95c805a5b"], "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": "c06a2728-6c51-4106-bf6a-d22cf480c120", "parent_hash": "f79145fea23e424baf52705fd1fe7ed68038bc8990ab26e26eb19bc95c805a5b", "fork_of": null, "generation": 1}, "gaps": ["abstract", "asset:source:pmid:40108606 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:not_downloaded", "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:40108606' does not resolve to a declared asset", "targets"]}