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pmid:39915534

Exploring the prognostic role of microbial and genetic markers in lung squamous cell carcinoma.

Scientific reports · 2025 doi:10.1038/s41598-025-88120-2

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:39915534
kind
science-record
content_hash
sha256:614a2f9952a4a055e0f7c51608f82273c945c0169ff8e52d20bb6dfe2c85d865
schema
https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T10:25:49Z
updated_at
2026-11-01T10:25:49Z
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
Exploring the prognostic role of microbial and genetic markers in lung squamous cell carcinoma.
doi
10.1038/s41598-025-88120-2
pmid
39915534
authors
null
journal
Scientific reports
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
18
unit
microbial genera
tolerance
null
source
chars 779-867 of source sha256 3b47c26a959031762d2646144588cff641f10eada2703cc5e9f86d1064ea2458
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:39915534
locator
chars 779-867 of source sha256 3b47c26a959031762d2646144588cff641f10eada2703cc5e9f86d1064ea2458
quote
18 microbial genera were found to be significantly associated with RFS in LUSC patients.
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:39915534
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:39915534
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:39915534' does not resolve to a declared asset
data object · 3 fields
state
partial
assets array · 1 item
[0] object · 15 fields
id
source:pmid:39915534
role
manuscript
format
xml
media_type
application/xml
uri
https://doi.org/10.1038/s41598-025-88120-2
sha256
sha256:3b47c26a959031762d2646144588cff641f10eada2703cc5e9f86d1064ea2458
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
10.1038/s41598-025-88120-2
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:39915534 not verified
analysis object · 4 fields
state
absent
methods array · 0 items
targets array · 0 items
gaps array · 2 items
[0]
method
[1]
targets
capability object · 3 fields
state
absent
requirements array · 0 items
gaps array · 1 item
[0]
capability
readiness object · 8 fields
state
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:39915534
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:39915534
gaps array · 1 item
[0]
corpus_record_absent
review object · 5 fields
state
partial
machine_critique object · 7 fields
status
blocked
providers array · 2 items
[0] object · 7 fields
provider
minimax
model
MiniMax-M3.1-Flash
prompt_version
full-text-reading-v1
prompt_hash
76a98ad9cf962515f83afc39a4070116bc6294bcbbe34c073a46b753f974087f
source_hash
3b47c26a959031762d2646144588cff641f10eada2703cc5e9f86d1064ea2458
raw_response_sha256
sha256:ecd05a945bde0aecc73a7f77373f58f0c75687138f640f03ab52d8271baf963c
raw_response_chars
4647
[1] object · 7 fields
provider
minimax_alt
model
MiniMax-M3
prompt_version
full-text-reading-v1
prompt_hash
794f7960016dea602082eadfac06bec410d4211c864bf81c89453f643991a0e0
source_hash
3b47c26a959031762d2646144588cff641f10eada2703cc5e9f86d1064ea2458
raw_response_sha256
sha256:36aefab4b8208eaf32a1cb022883b893aadb335adfe1ae265286824c0e4b43b8
raw_response_chars
44171
target_providers array · 2 items
[0] object · 8 fields
provider
minimax
model
MiniMax-M3.1-Flash
prompt_version
replication-target-v2
prompt_hash
8719c88a18edad84f5bcb5e7eec78055daef7fee8e35a74ad94359792d70c484
source_hash
3b47c26a959031762d2646144588cff641f10eada2703cc5e9f86d1064ea2458
raw_response
{"parent_value":18,"unit":"microbial genera","evidence":"18 microbial genera were found to be significantly associated with RFS in LUSC patients.","target_result":"The paper states that 18 microbial genera were significantly associated with recurrence-free survival (RFS) in LUSC patients.","number_stated":true}
reading object · 6 fields
parent_value
18
unit
microbial genera
evidence
18 microbial genera were found to be significantly associated with RFS in LUSC patients.
target_result
The paper states that 18 microbial genera were significantly associated with recurrence-free survival (RFS) in LUSC patients.
number_stated
true
source_locator
chars 779-867 of source sha256 3b47c26a959031762d2646144588cff641f10eada2703cc5e9f86d1064ea2458
recorded_at
2026-10-31T15:29:26.675986+00:00
[1] object · 8 fields
provider
minimax_alt
model
MiniMax-M3
prompt_version
replication-target-v2
prompt_hash
e73fb191414a2d3476f6aefde418bddbe714bd915ec1219a60c1d36f7d436b52
source_hash
3b47c26a959031762d2646144588cff641f10eada2703cc5e9f86d1064ea2458
raw_response
<think>We need answer JSON only. Need inspect supplied text. Asked single numerical result headline for main finding. Source only abstract + methods, no results section except abstract: "18 microbial genera were found significantly associated..." "four mRNA..." Is headline numerical result perhaps 18 microbial genera? Registered target vague "headline numerical result the paper states for its main finding". Need identify number stated for main finding. Likely 18 microbial genera? Could be four mRNA. Need determine perhaps paper title, main finding is microbial and genetic markers; abstract highlights "18 microbial genera were found to be significantly associated with RFS..." and "finally identifying four mRNA..." Which single numerical result replication target? They ask headline number only, value paper itself states for registered target. The source text likely omitted Results due truncated? We can only extract. Registered target defined generically. Need perhaps answer 18 microbial genera because first/headline count, main finding. Need quote exact contiguous clause containing number and attribution. Evidence exact quote. Unit "microbial genera" perhaps unit. parent_value 18. target_result could say "18 microbial genera were found to be significantly associated with RFS in LUSC patients." number_stated true. Evidence same exact quote. But perhaps headline numerical result is four mRNA? Let's carefully parse. Prompt probably benchmark asks identify "single numerical result that a replication of the registered target has to reproduce." Registered target is "the headline numerical result the paper states for its main finding". In source, abstract likely has key numbers, and methods. The paper's title exploring prognostic role. Main finding could involve risk score model with 18 microbial genera and 4 mRNAs. Which is headline? Maybe the benchmark expects article's key finding metric (e.g., AUC) but supplied source lacks result values. Yet abstract says counts. They want single numerical result, likely "18 microbial genera". Let's reason wording: "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." This task generated with target maybe specific claim hidden in source. Registered target description generic, and source may contain exact number. Need output. Could select 18 microbial genera as headline because sentence "18 microbial genera were found to be significantly associated with RFS in LUSC patients." This is main finding and a count. Unit perhaps "microbial genera" (not a physical unit). JSON unit must string. Evidence exact contiguous quote. target_result perhaps concise. Ensure exact punctuation. Source has: "18 microbial genera were found to be significantly associated with RFS in LUSC patients. The microbial signature built with these microbial genera, exhibited robust predictive accuracy in both the training and validation datasets. Furthermore, hub mRNA between high- and low-risk groups were selected by XGBOOST and intersect with mRNAs screened by univariate Cox regression analysis, finally identifying four mRNA significantly associated with LUSC prognosis." Could evidence quote whole clause/sentence. They request headline number only perhaps target_result could be "18 microbial genera". Need no extra prose outside JSON. But maybe main headline is four mRNA because final main finding. Which one would replication need reproduce? Let's inspect title and abstract ordering. Main finding: microbiome risk score based on 18 genera. Abstract says 18 microbial genera associated; microbial signature predictive. Then four mRNA. If asked "single numerical result" perhaps likely number in paper's title? No title no number. They may expect first/most headline number = 18. "the headline numerical result the paper states for its main finding" and evidence must attribution. The abstract's central finding is risk score model from 18 genera, likely count. Could unit be "microbial genera" exactly. The number is count. parent_value 18. target_result perhaps "18 microbial genera were significantly associated with recurrence-free survival (RFS) in LUSC patients." But exact source calls RFS; don't expand unless target result no evidence constraint? Better mirror. Need valid JSON, escaped perhaps no issue.</think> {"parent_value":18,"unit":"microbial genera","evidence":"18 microbial genera were found to be significantly associated with RFS in LUSC patients.","target_result":"18 microbial genera were found to be significantly associated with RFS in LUSC patients.","number_stated":true}
reading object · 6 fields
parent_value
18
unit
microbial genera
evidence
18 microbial genera were found to be significantly associated with RFS in LUSC patients.
target_result
18 microbial genera were found to be significantly associated with RFS in LUSC patients.
number_stated
true
source_locator
chars 779-867 of source sha256 3b47c26a959031762d2646144588cff641f10eada2703cc5e9f86d1064ea2458
recorded_at
2026-10-31T15:29:30.240024+00:00
agreement
false
disagreements object · 3 fields
target_result object · 3 fields
minimax
18 microbial genera were significantly associated with recurrence-free survival (RFS) in LUSC patients.
minimax_alt
18 microbial genera were found to be significantly associated with RFS in LUSC patients.
decisive
false
analysis_methods object · 3 fields
minimax array · 4 items
[0]
univariate Cox proportional hazards analysis
[1]
least absolute shrinkage and selection operator (LASSO) regression
[2]
10-fold cross-validation
[3]
multivariate Cox regression analysis
minimax_alt array · 4 items
[0]
univariate Cox proportional hazards analysis
[1]
LASSO regression
[2]
10-fold cross-validation
[3]
multivariate Cox regression analysis
decisive
false
statistical_method object · 3 fields
minimax
univariate Cox regression analysis combined with the least absolute contraction and selection operator (LASSO) regression
minimax_alt
Univariate Cox proportional hazards analysis combined with LASSO regression, with the LASSO regularization parameter selected by 10-fold cross-validation
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
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.blocked
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:151e519206a3fff4f44a32f5e10f09db321b5bd8832ab8ef095bd0faa01b0de8
type
sep_package
label
SEP v1 package for pmid:39915534
activities array · 1 item
[0] object · 4 fields
id
activity:conversion:pmid:39915534
type
conversion
used array · 1 item
[0]
package:151e519206a3fff4f44a32f5e10f09db321b5bd8832ab8ef095bd0faa01b0de8
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
e9423780-c4b4-4514-8965-efa167158bd1
parent_hash
151e519206a3fff4f44a32f5e10f09db321b5bd8832ab8ef095bd0faa01b0de8
fork_of
null
gaps array · 13 items
[0]
abstract
[1]
asset:source:pmid:39915534 not verified
[2]
authors
[3]
capability
[4]
corpus_record_absent
[5]
execution.not_run
[6]
method
[7]
review.human_critique
[8]
review.machine_critique.blocked
[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:39915534' does not resolve to a declared asset
[12]
targets
Complete file
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3b47c26a959031762d2646144588cff641f10eada2703cc5e9f86d1064ea2458"}, "evidence": [{"asset": "source:pmid:39915534", "locator": "chars 779-867 of source sha256 3b47c26a959031762d2646144588cff641f10eada2703cc5e9f86d1064ea2458", "quote": "18 microbial genera were found to be significantly associated with RFS in LUSC patients."}]}], "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:39915534"], "outputs": ["the published estimate, its unit and its interval"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the 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["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:39915534' does not resolve to a declared asset"]}, "data": {"state": "partial", "assets": [{"id": "source:pmid:39915534", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1038/s41598-025-88120-2", "sha256": "sha256:3b47c26a959031762d2646144588cff641f10eada2703cc5e9f86d1064ea2458", "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.1038/s41598-025-88120-2", "version": null, "note": "Source read by the package builder: full_text.", "structure": {"access_state": "full_text"}}], "gaps": ["asset:source:pmid:39915534 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:39915534"], "steps": ["read_published_estimate"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": ["xml"], "capabilities": [], "data_gaps": ["source:pmid:39915534"]}, "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": "76a98ad9cf962515f83afc39a4070116bc6294bcbbe34c073a46b753f974087f", "source_hash": "3b47c26a959031762d2646144588cff641f10eada2703cc5e9f86d1064ea2458", "raw_response_sha256": "sha256:ecd05a945bde0aecc73a7f77373f58f0c75687138f640f03ab52d8271baf963c", "raw_response_chars": 4647}, {"provider": "minimax_alt", "model": "MiniMax-M3", "prompt_version": "full-text-reading-v1", "prompt_hash": "794f7960016dea602082eadfac06bec410d4211c864bf81c89453f643991a0e0", "source_hash": "3b47c26a959031762d2646144588cff641f10eada2703cc5e9f86d1064ea2458", "raw_response_sha256": "sha256:36aefab4b8208eaf32a1cb022883b893aadb335adfe1ae265286824c0e4b43b8", "raw_response_chars": 44171}], "target_providers": [{"provider": "minimax", "model": "MiniMax-M3.1-Flash", "prompt_version": "replication-target-v2", "prompt_hash": "8719c88a18edad84f5bcb5e7eec78055daef7fee8e35a74ad94359792d70c484", "source_hash": "3b47c26a959031762d2646144588cff641f10eada2703cc5e9f86d1064ea2458", "raw_response": "{\"parent_value\":18,\"unit\":\"microbial genera\",\"evidence\":\"18 microbial genera were found to be significantly associated with RFS in LUSC patients.\",\"target_result\":\"The paper states that 18 microbial genera were significantly associated with recurrence-free survival (RFS) in LUSC patients.\",\"number_stated\":true}", "reading": {"parent_value": 18, "unit": "microbial genera", "evidence": "18 microbial genera were found to be significantly associated with RFS in LUSC patients.", "target_result": "The paper states that 18 microbial genera were significantly associated with recurrence-free survival (RFS) in LUSC patients.", "number_stated": true, "source_locator": "chars 779-867 of source sha256 3b47c26a959031762d2646144588cff641f10eada2703cc5e9f86d1064ea2458"}, "recorded_at": "2026-10-31T15:29:26.675986+00:00"}, {"provider": "minimax_alt", "model": "MiniMax-M3", "prompt_version": "replication-target-v2", "prompt_hash": "e73fb191414a2d3476f6aefde418bddbe714bd915ec1219a60c1d36f7d436b52", "source_hash": "3b47c26a959031762d2646144588cff641f10eada2703cc5e9f86d1064ea2458", "raw_response": "<think>We need answer JSON only. Need inspect supplied text. Asked single numerical result headline for main finding. Source only abstract + methods, no results section except abstract: \"18 microbial genera were found significantly associated...\" \"four mRNA...\" Is headline numerical result perhaps 18 microbial genera? Registered target vague \"headline numerical result the paper states for its main finding\". Need identify number stated for main finding. Likely 18 microbial genera? Could be four mRNA. Need determine perhaps paper title, main finding is microbial and genetic markers; abstract highlights \"18 microbial genera were found to be significantly associated with RFS...\" and \"finally identifying four mRNA...\" Which single numerical result replication target? They ask headline number only, value paper itself states for registered target. The source text likely omitted Results due truncated? We can only extract. Registered target defined generically. Need perhaps answer 18 microbial genera because first/headline count, main finding. Need quote exact contiguous clause containing number and attribution. Evidence exact quote. Unit \"microbial genera\" perhaps unit. parent_value 18. target_result could say \"18 microbial genera were found to be significantly associated with RFS in LUSC patients.\" number_stated true. Evidence same exact quote. But perhaps headline numerical result is four mRNA? Let's carefully parse.\n\nPrompt probably benchmark asks identify \"single numerical result that a replication of the registered target has to reproduce.\" Registered target is \"the headline numerical result the paper states for its main finding\". In source, abstract likely has key numbers, and methods. The paper's title exploring prognostic role. Main finding could involve risk score model with 18 microbial genera and 4 mRNAs. Which is headline? Maybe the benchmark expects article's key finding metric (e.g., AUC) but supplied source lacks result values. Yet abstract says counts. They want single numerical result, likely \"18 microbial genera\". Let's reason wording: \"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.\" This task generated with target maybe specific claim hidden in source. Registered target description generic, and source may contain exact number. Need output.\n\nCould select 18 microbial genera as headline because sentence \"18 microbial genera were found to be significantly associated with RFS in LUSC patients.\" This is main finding and a count. Unit perhaps \"microbial genera\" (not a physical unit). JSON unit must string. Evidence exact contiguous quote. target_result perhaps concise. Ensure exact punctuation. Source has:\n\"18 microbial genera were found to be significantly associated with RFS in LUSC patients. The microbial signature built with these microbial genera, exhibited robust predictive accuracy in both the training and validation datasets. Furthermore, hub mRNA between high- and low-risk groups were selected by XGBOOST and intersect with mRNAs screened by univariate Cox regression analysis, finally identifying four mRNA significantly associated with LUSC prognosis.\"\n\nCould evidence quote whole clause/sentence. They request headline number only perhaps target_result could be \"18 microbial genera\". Need no extra prose outside JSON.\n\nBut maybe main headline is four mRNA because final main finding. Which one would replication need reproduce? Let's inspect title and abstract ordering. Main finding: microbiome risk score based on 18 genera. Abstract says 18 microbial genera associated; microbial signature predictive. Then four mRNA. If asked \"single numerical result\" perhaps likely number in paper's title? No title no number. They may expect first/most headline number = 18. \"the headline numerical result the paper states for its main finding\" and evidence must attribution. The abstract's central finding is risk score model from 18 genera, likely count.\n\nCould unit be \"microbial genera\" exactly. The number is count. parent_value 18. target_result perhaps \"18 microbial genera were significantly associated with recurrence-free survival (RFS) in LUSC patients.\" But exact source calls RFS; don't expand unless target result no evidence constraint? Better mirror.\n\nNeed valid JSON, escaped perhaps no issue.</think>\n\n{\"parent_value\":18,\"unit\":\"microbial genera\",\"evidence\":\"18 microbial genera were found to be significantly associated with RFS in LUSC patients.\",\"target_result\":\"18 microbial genera were found to be significantly associated with RFS in LUSC patients.\",\"number_stated\":true}", "reading": {"parent_value": 18, "unit": "microbial genera", "evidence": "18 microbial genera were found to be significantly associated with RFS in LUSC patients.", "target_result": "18 microbial genera were found to be significantly associated with RFS in LUSC patients.", "number_stated": true, "source_locator": "chars 779-867 of source sha256 3b47c26a959031762d2646144588cff641f10eada2703cc5e9f86d1064ea2458"}, "recorded_at": "2026-10-31T15:29:30.240024+00:00"}], "agreement": false, "disagreements": {"target_result": {"minimax": "18 microbial genera were significantly associated with recurrence-free survival (RFS) in LUSC patients.", "minimax_alt": "18 microbial genera were found to be significantly associated with RFS in LUSC patients.", "decisive": false}, "analysis_methods": {"minimax": ["univariate Cox proportional hazards analysis", "least absolute shrinkage and selection operator (LASSO) regression", "10-fold cross-validation", "multivariate Cox regression analysis"], "minimax_alt": ["univariate Cox proportional hazards analysis", "LASSO regression", "10-fold cross-validation", "multivariate Cox regression analysis"], "decisive": false}, "statistical_method": {"minimax": "univariate Cox regression analysis combined with the least absolute contraction and selection operator (LASSO) regression", "minimax_alt": "Univariate Cox proportional hazards analysis combined with LASSO regression, with the LASSO regularization parameter selected by 10-fold cross-validation", "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:151e519206a3fff4f44a32f5e10f09db321b5bd8832ab8ef095bd0faa01b0de8", "type": "sep_package", "label": "SEP v1 package for pmid:39915534"}], "activities": [{"id": "activity:conversion:pmid:39915534", "type": "conversion", "used": ["package:151e519206a3fff4f44a32f5e10f09db321b5bd8832ab8ef095bd0faa01b0de8"], "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": "e9423780-c4b4-4514-8965-efa167158bd1", "parent_hash": "151e519206a3fff4f44a32f5e10f09db321b5bd8832ab8ef095bd0faa01b0de8", "fork_of": null, "generation": 1}, "gaps": ["abstract", "asset:source:pmid:39915534 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:39915534' does not resolve to a declared asset", "targets"]}