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pmid:39711312

Identification of ALDH7A1 as a DNA-methylation-driven gene in lung squamous cell carcinoma.

Annals of medicine · 2025 doi:10.1080/07853890.2024.2442529

Paper

partial

Experiment

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Data

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Analysis

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Execution

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
id
pmid:39711312
kind
science-record
content_hash
sha256:5f45b64547e74ce0e31d21d5e54b578acf3ebe944434478df682f518abe69d9e
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https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T10:25:48Z
updated_at
2026-11-01T14:01:32Z
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
Identification of ALDH7A1 as a DNA-methylation-driven gene in lung squamous cell carcinoma.
doi
10.1080/07853890.2024.2442529
pmid
39711312
authors
null
journal
Annals of medicine
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:39711312
outputs array · 1 item
[0]
the published estimate, its unit and its interval
instruments array · 0 items
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[1] object · 13 fields
id
obtain_source_data
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2
name
Obtain the source data behind the published result
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data-preparation
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data:not_downloaded
description
The published result cannot be recomputed without the data the paper analysed.
parameters object · 0 fields
inputs array · 0 items
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[0]
the source data with its provenance
instruments array · 0 items
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[2] object · 13 fields
id
run_analysis
order
3
name
Run the analysis programme
kind
analysis
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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:39711312
parameters object · 0 fields
inputs array · 0 items
outputs array · 1 item
[0]
the registered result
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step:run_analysis input 'materials:the source data behind the published result in pmid:39711312' does not resolve to a declared asset
data object · 3 fields
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partial
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[0] object · 15 fields
id
source:pmid:39711312
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manuscript
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xml
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application/xml
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https://doi.org/10.1080/07853890.2024.2442529
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reader_required
identifier
10.1080/07853890.2024.2442529
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null
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Source read by the package builder: full_text.
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full_text
[1] object · 16 fields
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asset:table:pmid:39711312:1
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identifier
section[19]/table-wrap[1]#t0001
version
null
note
The multi-cox of the DNA-methylation-driven gene.
structure object · 5 fields
pmcid
PMC11703541
section_index
19
section_title
Constructing and validating an MDG risk profile model
row_count
6
column_count
7
table object · 8 fields
label
Table 1.
caption
The multi-cox of the DNA-methylation-driven gene.
rows array · 6 items
[0] array · 7 items
[0]
ID
[1]
Gene
[2]
Co-efficiency
[3]
HR
[4]
HR.95L
[5]
HR.95H
[6]
p-Value
[1] array · 7 items
[0]
TCGA_LUSC
[1]
TRIM61
[2]
0.364
[3]
1.438
[4]
0.949
[5]
2.180
[6]
0.087
[2] array · 6 items
[0]
SMIM22
[1]
0.258
[2]
1.294
[3]
0.996
[4]
1.681
[5]
0.053
[3] array · 6 items
[0]
ALDH7A1
[1]
0.433
[2]
1.542
[3]
1.148
[4]
2.072
[5]
0.004
[4] array · 7 items
[0]
GSE37745
[1]
ZNF486
[2]
−0.753
[3]
0.471
[4]
0.203
[5]
1.093
[6]
0.080
[5] array · 7 items
[0]
GSE37745
[1]
ALDH7A1
[2]
0.689
[3]
1.991
[4]
1.025
[5]
3.866
[6]
0.042
locator
section[19]/table-wrap[1]#t0001
gaps array · 1 item
[0]
asset:source:pmid:39711312 not verified
analysis object · 4 fields
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absent
methods array · 0 items
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gaps array · 2 items
[0]
method
[1]
targets
capability object · 3 fields
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absent
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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 · 2 items
[0]
source:pmid:39711312
[1]
asset:table:pmid:39711312:1
steps array · 1 item
[0]
read_published_estimate
must_build object · 5 fields
dsl_operations array · 0 items
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readers array · 1 item
[0]
xml
capabilities array · 0 items
data_gaps array · 1 item
[0]
source:pmid:39711312
gaps array · 1 item
[0]
corpus_record_absent
review object · 5 fields
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partial
machine_critique object · 7 fields
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blocked
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[0] object · 7 fields
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minimax
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MiniMax-M3.1-Flash
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full-text-reading-v1
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fca7ab0337d5791be47823ddcb02ffcfc205f0c92d98cfa4b8c918bb711df3d6
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[1] object · 7 fields
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minimax_alt
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source_hash
896eb03764785837245f01141d33584af3dd3ad78e007a9a8483f4326265eac9
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minimax
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MiniMax-M3.1-Flash
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896eb03764785837245f01141d33584af3dd3ad78e007a9a8483f4326265eac9
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{"parent_value":-0.655,"unit":"COR","evidence":"The expression of ALDH7A1 in LUSC was negatively correlated with its methylation status (COR = −0.655).","target_result":"ALDH7A1 expression in LUSC was negatively correlated with its methylation status (COR = −0.655).","number_stated":true}
reading object · 6 fields
parent_value
-0.655
unit
COR
evidence
The expression of ALDH7A1 in LUSC was negatively correlated with its methylation status (COR = −0.655).
target_result
ALDH7A1 expression in LUSC was negatively correlated with its methylation status (COR = −0.655).
number_stated
true
source_locator
chars 1204-1307 of source sha256 896eb03764785837245f01141d33584af3dd3ad78e007a9a8483f4326265eac9
recorded_at
2026-10-31T15:18:46.952588+00:00
[1] object · 8 fields
provider
minimax_alt
model
MiniMax-M3
prompt_version
replication-target-v2
prompt_hash
8d16f5fede5089284a3496cb12f7eda500e7710ab3d1a2dec42148f28d154531
source_hash
896eb03764785837245f01141d33584af3dd3ad78e007a9a8483f4326265eac9
raw_response
<think>We need answer JSON only extracting headline numerical result paper states for registered target "headline numerical result the paper states for its main finding". Need determine likely number is COR = −0.655? Source text has several numbers but main finding ALDH7A1 methylation-driven gene, expression negatively correlated with methylation status (COR = −0.655). Target vague. Need inspect instruction: "Read 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. The unit must be the unit the paper prints. The evidence must be an exact, contiguous quotation from SOURCE TEXT that contains the number; do not shorten it, do not add an ellipsis and do not paraphrase it. Attribution may be carried by the text's own wording: a number may be attached to the target by a parenthetical list, by the word 'respectively', or by words that name the target directly. When that is how the text links them, quote the whole clause so a reader can check the attribution for themselves. If the text states no number for the registered target, set number_stated to false, leave parent_value at 0, leave unit and evidence empty, and say in target_result what the text does state instead. Never invent a source." We need choose single numerical result headline. The paper abstract explicitly gives COR = −0.655. That is likely headline numerical result for main finding. Need evidence exact contiguous quote containing number: "The expression of ALDH7A1 in LUSC was negatively correlated with its methylation status (COR = −0.655)." Need unit as paper prints. No physical unit, COR correlation coefficient unitless. So unit ""? They demand unit paper prints. For a correlation coefficient, no unit. Could be "COR" perhaps unit should be empty string because unitless. Need decide likely expected unit: "COR" or ""? Schema unit string. We can set "unit":"" since none printed. But desired extraction tasks often unit should correspond printed unit, e.g. "%" etc. Here none so "". parent_value -0.655 numeric. target_result description "ALDH7A1 expression in LUSC was negatively correlated with its methylation status (COR = −0.655)." number_stated true. Need consider maybe headline is "Forty-five DNA-methylation-driven genes (MDGs) were obtained, and 3 genes (TRIM61, SMIM22, and ALDH7A1) were significantly associated with survival..." But registered target says "the headline numerical result the paper states for its main finding". Main finding ALDH7A1 high expression independent risk factor; numerical result COR −0.655. Is target perhaps "45 MDGs" headline number? They explicitly main finding ALDH7A1 as DNA methylation-driven gene and key quantitative finding correlation. We need not overthink. Need respond only JSON with no markdown. We should provide exact clause quote. Parent value -0.655. Unit likely "" as no unit. target_result maybe "The paper reports that ALDH7A1 expression in LUSC was negatively correlated with its methylation status, with COR = −0.655." evidence exact "The expression of ALDH7A1 in LUSC was negatively correlated with its methylation status (COR = −0.655)." Unit "". But perhaps unit "correlation coefficient" since that's metric? They say "The unit must be the unit the paper prints." Paper prints COR = -0.655; no unit. In other tasks units expected e.g. "COR" as unit? Usually unit should be literal unit. If no unit, "". We should obey avoid invention. We can put unit "COR" though that's abbreviation for metric, not unit. It would be safest empty unit. Need say target_result concise no extrapolate. Output JSON valid unicode minus supported. All requested keys. Let's revisit wording number_stated false case: if no number for registered target, parent_value 0, unit and evidence empty and target_result say text does state instead. We have number. Good. Potential issue "headline number only" means don't include multiple numbers in evidence? Exact contiguous quote containing number includes only -0.655. Fine. Target_result maybe quote or description. Fine. We'll output.</think> {"parent_value":-0.655,"unit":"","evidence":"The expression of ALDH7A1 in LUSC was negatively correlated with its methylation status (COR = −0.655).","target_result":"The paper reports that ALDH7A1 expression in LUSC was negatively correlated with its methylation status, with COR = −0.655.","number_stated":true}
reading object · 6 fields
parent_value
-0.655
unit
evidence
The expression of ALDH7A1 in LUSC was negatively correlated with its methylation status (COR = −0.655).
target_result
The paper reports that ALDH7A1 expression in LUSC was negatively correlated with its methylation status, with COR = −0.655.
number_stated
true
source_locator
chars 1204-1307 of source sha256 896eb03764785837245f01141d33584af3dd3ad78e007a9a8483f4326265eac9
recorded_at
2026-10-31T15:18:55.697543+00:00
agreement
false
disagreements object · 4 fields
physical_methods object · 3 fields
minimax array · 3 items
[0]
In vitro cell experiments with ALDH7A1 silencing and overexpression
[1]
Real-time fluorescence quantitative reverse transcription polymerase chain reaction (qRT-PCR)
[2]
Western blot analysis
minimax_alt array · 3 items
[0]
In vitro ALDH7A1 silencing and overexpression cell experiments
[1]
Real-time fluorescence quantitative reverse transcription polymerase chain reaction (qRT-PCR)
[2]
Western blot analysis
decisive
false
analysis_methods object · 3 fields
minimax array · 8 items
[0]
MethylMix algorithm
[1]
Wilcoxon rank-sum tests based on a β-mixture model
[2]
Linear regression
[3]
Univariate Cox regression
[4]
Multivariate Cox regression
[5]
KM analysis
[6]
Nomination plot analysis
[7]
Gene Set Enrichment Analysis (GSEA)
minimax_alt array · 7 items
[0]
MethylMix algorithm
[1]
Wilcoxon rank-sum tests based on a β-mixture model
[2]
Linear regression models
[3]
Univariate and multivariate Cox regression
[4]
KM analysis
[5]
Gene Set Enrichment Analysis (GSEA)
[6]
2−ΔΔCt method
decisive
false
statistical_method object · 3 fields
minimax
Linear regression
minimax_alt
Linear regression models
decisive
true
unit object · 3 fields
minimax
COR
minimax_alt
decisive
true
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
blocked
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
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null
evidence
null
[5] object · 4 fields
key
control_comparison
status
pending
reason
null
evidence
null
[6] object · 4 fields
key
publication
status
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reason
null
evidence
null
gaps array · 2 items
[0]
review.human_critique
[1]
review.machine_critique.blocked
execution object · 5 fields
state
absent
status
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null
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provenance object · 7 fields
entities array · 1 item
[0] object · 3 fields
id
package:081b42d2ffd170af4c64ef17cbfd7bcd2356212e8d92ca3f0cf5f48481a394fb
type
sep_package
label
SEP v1 package for pmid:39711312
activities array · 1 item
[0] object · 4 fields
id
activity:conversion:pmid:39711312
type
conversion
used array · 1 item
[0]
package:081b42d2ffd170af4c64ef17cbfd7bcd2356212e8d92ca3f0cf5f48481a394fb
agent
agent:corpus-assay-engine
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[0] object · 3 fields
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[1] object · 3 fields
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agent:minimax_alt
type
model
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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
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snapshot_id
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lineage object · 4 fields
parent_id
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parent_hash
sha256:6c057d64fc6571888634841d6f14541388b9ab7c073780e1443b71dc912e8b07
fork_of
null
gaps array · 13 items
[0]
abstract
[1]
asset:source:pmid:39711312 not verified
[2]
authors
[3]
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review.machine_critique.blocked
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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:39711312' does not resolve to a declared asset
[12]
targets
Complete file
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"role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1080/07853890.2024.2442529", "sha256": "sha256:896eb03764785837245f01141d33584af3dd3ad78e007a9a8483f4326265eac9", "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.1080/07853890.2024.2442529", "version": null, "note": "Source read by the package builder: full_text.", "structure": {"access_state": "full_text"}}, {"id": "asset:table:pmid:39711312:1", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:eb095c04e0d36887c9b868198acc1680e4be9e41da18eab715bd3180c9488d98", "bytes": 558, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[19]/table-wrap[1]#t0001", "version": null, "note": "The multi-cox of the DNA-methylation-driven gene.", "structure": {"pmcid": "PMC11703541", "section_index": 19, "section_title": "Constructing and validating an MDG risk profile model", "row_count": 6, "column_count": 7}, "table": {"label": "Table 1.", "caption": "The multi-cox of the DNA-methylation-driven gene.", "rows": [["ID", "Gene", "Co-efficiency", "HR", "HR.95L", "HR.95H", "p-Value"], ["TCGA_LUSC", "TRIM61", "0.364", "1.438", "0.949", "2.180", "0.087"], ["SMIM22", "0.258", "1.294", "0.996", "1.681", "0.053"], ["ALDH7A1", "0.433", "1.542", "1.148", "2.072", "0.004"], ["GSE37745", "ZNF486", "−0.753", "0.471", "0.203", "1.093", "0.080"], ["GSE37745", "ALDH7A1", "0.689", "1.991", "1.025", "3.866", "0.042"]], "row_count": 6, "column_count": 7, "numeric_cells": 32, "header_rows": 1, "locator": "section[19]/table-wrap[1]#t0001"}}], "gaps": ["asset:source:pmid:39711312 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:39711312", "asset:table:pmid:39711312:1"], "steps": ["read_published_estimate"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": ["xml"], "capabilities": [], "data_gaps": ["source:pmid:39711312"]}, "gaps": ["corpus_record_absent"]}, "review": {"state": "partial", "machine_critique": {"status": "blocked", "providers": [{"provider": "minimax", "model": "MiniMax-M3.1-Flash", "prompt_version": "full-text-reading-v1", "prompt_hash": "fca7ab0337d5791be47823ddcb02ffcfc205f0c92d98cfa4b8c918bb711df3d6", "source_hash": "896eb03764785837245f01141d33584af3dd3ad78e007a9a8483f4326265eac9", "raw_response_sha256": "sha256:f2f2e74a5fbf6bb3f664fbeb9f7953e16d044c5a710021451df6afe8f6fe0569", "raw_response_chars": 3855}, {"provider": "minimax_alt", "model": "MiniMax-M3", "prompt_version": "full-text-reading-v1", "prompt_hash": "5f1dcec4d464c47cc09ab34f6f86612845fc0b233f18ba59dacf92b42647e680", "source_hash": "896eb03764785837245f01141d33584af3dd3ad78e007a9a8483f4326265eac9", "raw_response_sha256": "sha256:3373875d78e7d8d9291b7d0ba942535dbe5d6a49ef98a1682bfed23189fd8544", "raw_response_chars": 53404}], "target_providers": [{"provider": "minimax", "model": "MiniMax-M3.1-Flash", "prompt_version": "replication-target-v2", "prompt_hash": "251621ab11feb7adb9ab040f6f6c4f7879a6d69793095b0c38cb49b18fc9a6cc", "source_hash": "896eb03764785837245f01141d33584af3dd3ad78e007a9a8483f4326265eac9", "raw_response": "{\"parent_value\":-0.655,\"unit\":\"COR\",\"evidence\":\"The expression of ALDH7A1 in LUSC was negatively correlated with its methylation status (COR = −0.655).\",\"target_result\":\"ALDH7A1 expression in LUSC was negatively correlated with its methylation status (COR = −0.655).\",\"number_stated\":true}", "reading": {"parent_value": -0.655, "unit": "COR", "evidence": "The expression of ALDH7A1 in LUSC was negatively correlated with its methylation status (COR = −0.655).", "target_result": "ALDH7A1 expression in LUSC was negatively correlated with its methylation status (COR = −0.655).", "number_stated": true, "source_locator": "chars 1204-1307 of source sha256 896eb03764785837245f01141d33584af3dd3ad78e007a9a8483f4326265eac9"}, "recorded_at": "2026-10-31T15:18:46.952588+00:00"}, {"provider": "minimax_alt", "model": "MiniMax-M3", "prompt_version": "replication-target-v2", "prompt_hash": "8d16f5fede5089284a3496cb12f7eda500e7710ab3d1a2dec42148f28d154531", "source_hash": "896eb03764785837245f01141d33584af3dd3ad78e007a9a8483f4326265eac9", "raw_response": "<think>We need answer JSON only extracting headline numerical result paper states for registered target \"headline numerical result the paper states for its main finding\". Need determine likely number is COR = −0.655? Source text has several numbers but main finding ALDH7A1 methylation-driven gene, expression negatively correlated with methylation status (COR = −0.655). Target vague. Need inspect instruction: \"Read 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. The unit must be the unit the paper prints. The evidence must be an exact, contiguous quotation from SOURCE TEXT that contains the number; do not shorten it, do not add an ellipsis and do not paraphrase it. Attribution may be carried by the text's own wording: a number may be attached to the target by a parenthetical list, by the word 'respectively', or by words that name the target directly. When that is how the text links them, quote the whole clause so a reader can check the attribution for themselves. If the text states no number for the registered target, set number_stated to false, leave parent_value at 0, leave unit and evidence empty, and say in target_result what the text does state instead. Never invent a source.\"\n\nWe need choose single numerical result headline. The paper abstract explicitly gives COR = −0.655. That is likely headline numerical result for main finding. Need evidence exact contiguous quote containing number: \"The expression of ALDH7A1 in LUSC was negatively correlated with its methylation status (COR = −0.655).\" Need unit as paper prints. No physical unit, COR correlation coefficient unitless. So unit \"\"? They demand unit paper prints. For a correlation coefficient, no unit. Could be \"COR\" perhaps unit should be empty string because unitless. Need decide likely expected unit: \"COR\" or \"\"? Schema unit string. We can set \"unit\":\"\" since none printed. But desired extraction tasks often unit should correspond printed unit, e.g. \"%\" etc. Here none so \"\". parent_value -0.655 numeric. target_result description \"ALDH7A1 expression in LUSC was negatively correlated with its methylation status (COR = −0.655).\" number_stated true.\n\nNeed consider maybe headline is \"Forty-five DNA-methylation-driven genes (MDGs) were obtained, and 3 genes (TRIM61, SMIM22, and ALDH7A1) were significantly associated with survival...\" But registered target says \"the headline numerical result the paper states for its main finding\". Main finding ALDH7A1 high expression independent risk factor; numerical result COR −0.655. Is target perhaps \"45 MDGs\" headline number? They explicitly main finding ALDH7A1 as DNA methylation-driven gene and key quantitative finding correlation. We need not overthink. Need respond only JSON with no markdown.\n\nWe should provide exact clause quote. Parent value -0.655. Unit likely \"\" as no unit. target_result maybe \"The paper reports that ALDH7A1 expression in LUSC was negatively correlated with its methylation status, with COR = −0.655.\" evidence exact \"The expression of ALDH7A1 in LUSC was negatively correlated with its methylation status (COR = −0.655).\" Unit \"\".\n\nBut perhaps unit \"correlation coefficient\" since that's metric? They say \"The unit must be the unit the paper prints.\" Paper prints COR = -0.655; no unit. In other tasks units expected e.g. \"COR\" as unit? Usually unit should be literal unit. If no unit, \"\". We should obey avoid invention. We can put unit \"COR\" though that's abbreviation for metric, not unit. It would be safest empty unit. Need say target_result concise no extrapolate. Output JSON valid unicode minus supported. All requested keys.\n\nLet's revisit wording number_stated false case: if no number for registered target, parent_value 0, unit and evidence empty and target_result say text does state instead. We have number. Good.\n\nPotential issue \"headline number only\" means don't include multiple numbers in evidence? Exact contiguous quote containing number includes only -0.655. Fine. Target_result maybe quote or description. Fine.\n\nWe'll output.</think>\n\n{\"parent_value\":-0.655,\"unit\":\"\",\"evidence\":\"The expression of ALDH7A1 in LUSC was negatively correlated with its methylation status (COR = −0.655).\",\"target_result\":\"The paper reports that ALDH7A1 expression in LUSC was negatively correlated with its methylation status, with COR = −0.655.\",\"number_stated\":true}", "reading": {"parent_value": -0.655, "unit": "", "evidence": "The expression of ALDH7A1 in LUSC was negatively correlated with its methylation status (COR = −0.655).", "target_result": "The paper reports that ALDH7A1 expression in LUSC was negatively correlated with its methylation status, with COR = −0.655.", "number_stated": true, "source_locator": "chars 1204-1307 of source sha256 896eb03764785837245f01141d33584af3dd3ad78e007a9a8483f4326265eac9"}, "recorded_at": "2026-10-31T15:18:55.697543+00:00"}], "agreement": false, "disagreements": {"physical_methods": {"minimax": ["In vitro cell experiments with ALDH7A1 silencing and overexpression", "Real-time fluorescence quantitative reverse transcription polymerase chain reaction (qRT-PCR)", "Western blot analysis"], "minimax_alt": ["In vitro ALDH7A1 silencing and overexpression cell experiments", "Real-time fluorescence quantitative reverse transcription polymerase chain reaction (qRT-PCR)", "Western blot analysis"], "decisive": false}, "analysis_methods": {"minimax": ["MethylMix algorithm", "Wilcoxon rank-sum tests based on a β-mixture model", "Linear regression", "Univariate Cox regression", "Multivariate Cox regression", "KM analysis", "Nomination plot analysis", "Gene Set Enrichment Analysis (GSEA)"], "minimax_alt": ["MethylMix algorithm", "Wilcoxon rank-sum tests based on a β-mixture model", "Linear regression models", "Univariate and multivariate Cox regression", "KM analysis", "Gene Set Enrichment Analysis (GSEA)", "2−ΔΔCt method"], "decisive": false}, "statistical_method": {"minimax": "Linear regression", "minimax_alt": "Linear regression models", "decisive": true}, "unit": {"minimax": "COR", "minimax_alt": "", "decisive": true}}, "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": "blocked", "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.blocked"]}, "execution": {"state": "absent", "status": "not_run", "mode": null, "runs": [], "gaps": ["execution.not_run"]}, "provenance": {"entities": [{"id": "package:081b42d2ffd170af4c64ef17cbfd7bcd2356212e8d92ca3f0cf5f48481a394fb", "type": "sep_package", "label": "SEP v1 package for pmid:39711312"}], "activities": [{"id": "activity:conversion:pmid:39711312", "type": "conversion", "used": ["package:081b42d2ffd170af4c64ef17cbfd7bcd2356212e8d92ca3f0cf5f48481a394fb"], "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:39711312", "parent_hash": "sha256:6c057d64fc6571888634841d6f14541388b9ab7c073780e1443b71dc912e8b07", "fork_of": null, "generation": 2}, "gaps": ["abstract", "asset:source:pmid:39711312 not verified", "authors", "capability", "corpus_record_absent", "execution.not_run", "method", "review.human_critique", "review.machine_critique.blocked", "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:39711312' does not resolve to a declared asset", "targets"]}