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pmid:40670727

Prognostic significance of angiogenesis-associated molecules and Immunologic characteristic in elderly patients with acute myeloid leukemia.

Annals of hematology · 2025 doi:10.1007/s00277-025-06454-3

Paper

partial

Experiment

partial

Data

partial

Analysis

absent

Execution

absent

Execution evidence has not yet been added to this .science file. Explore its methods, data and open questions to plan the next step.
Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
id
pmid:40670727
kind
science-record
content_hash
sha256:60e24d4485514481d15985fa0268a11f7b4bcc3bf163ff14191a801d5963425a
schema
https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T10:25:51Z
updated_at
2026-11-01T10:25:51Z
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
Prognostic significance of angiogenesis-associated molecules and Immunologic characteristic in elderly patients with acute myeloid leukemia.
doi
10.1007/s00277-025-06454-3
pmid
40670727
authors
null
journal
Annals of hematology
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
5
unit
genes
tolerance
null
source
chars 1021-1137 of source sha256 0f98f442d7e69b9ce534e09f0384f000c00153913ec9350a0531a500a2897102
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:40670727
locator
chars 1021-1137 of source sha256 0f98f442d7e69b9ce534e09f0384f000c00153913ec9350a0531a500a2897102
quote
Five angiogenesis-related genes associated with AML prognosis were identified: ECM1, EGLN1, FKBP5, FOXP1, and SIRT2.
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:40670727
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:40670727
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:40670727' does not resolve to a declared asset
data object · 3 fields
state
partial
assets array · 1 item
[0] object · 15 fields
id
source:pmid:40670727
role
manuscript
format
xml
media_type
application/xml
uri
https://doi.org/10.1007/s00277-025-06454-3
sha256
sha256:0f98f442d7e69b9ce534e09f0384f000c00153913ec9350a0531a500a2897102
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
10.1007/s00277-025-06454-3
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:40670727 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:40670727
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:40670727
gaps array · 1 item
[0]
corpus_record_absent
review object · 5 fields
state
partial
machine_critique object · 7 fields
status
blocked
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[0] object · 7 fields
provider
minimax
model
MiniMax-M3.1-Flash
prompt_version
full-text-reading-v1
prompt_hash
b4d9b1a98bd08a19ad748ce25ed90b74f14ce7f2ce00a7535ac1ddc32a579366
source_hash
0f98f442d7e69b9ce534e09f0384f000c00153913ec9350a0531a500a2897102
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sha256:5dfb26f3824afc286284095cb2c16bb4579a34778ab3776e80bcd659a8404424
raw_response_chars
6339
[1] object · 7 fields
provider
minimax_alt
model
MiniMax-M3
prompt_version
full-text-reading-v1
prompt_hash
0b473f5763298808ad3dff3c885d1964d254c8dddbd0500255941541afec81aa
source_hash
0f98f442d7e69b9ce534e09f0384f000c00153913ec9350a0531a500a2897102
raw_response_sha256
sha256:13eafb6507e484d89936038ca8d785d968b66fd34409accdbe5703d0fe8fa112
raw_response_chars
67388
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[0] object · 8 fields
provider
minimax
model
MiniMax-M3.1-Flash
prompt_version
replication-target-v2
prompt_hash
6390d0b3103eee9f0bd5c01a8e484ce845d926122810586571fbd556456e2b22
source_hash
0f98f442d7e69b9ce534e09f0384f000c00153913ec9350a0531a500a2897102
raw_response
{"parent_value":5,"unit":"genes","evidence":"Five angiogenesis-related genes associated with AML prognosis were identified: ECM1, EGLN1, FKBP5, FOXP1, and SIRT2.","target_result":"Five angiogenesis-related genes associated with AML prognosis were identified: ECM1, EGLN1, FKBP5, FOXP1, and SIRT2.","number_stated":true}
reading object · 6 fields
parent_value
5
unit
genes
evidence
Five angiogenesis-related genes associated with AML prognosis were identified: ECM1, EGLN1, FKBP5, FOXP1, and SIRT2.
target_result
Five angiogenesis-related genes associated with AML prognosis were identified: ECM1, EGLN1, FKBP5, FOXP1, and SIRT2.
number_stated
true
source_locator
chars 1021-1137 of source sha256 0f98f442d7e69b9ce534e09f0384f000c00153913ec9350a0531a500a2897102
recorded_at
2026-10-31T15:21:18.675316+00:00
[1] object · 8 fields
provider
minimax_alt
model
MiniMax-M3
prompt_version
replication-target-v2
prompt_hash
ba4bc2d6d7d2de0df4a13533b07fae79d68a0f4176eb00df54fb230cefdd78f3
source_hash
0f98f442d7e69b9ce534e09f0384f000c00153913ec9350a0531a500a2897102
raw_response
<think>We need answer JSON only. Need identify headline numerical result paper states for main finding. Source abstract/results says five genes, prognostic signature efficacy maybe no numerical performance metric. Registered target vague "headline numerical result paper states for its main finding." Could be 5 angiogenesis-related genes. Need exact contiguous quote containing number, unit printed. "Five angiogenesis-related genes associated with AML prognosis were identified: ECM1..." Number stated in word Five? parent_value numerical, unit perhaps "genes" printed. But prompt asks numerical result headline, paper states. Could also cohort 343 samples, but not main finding. The headline result likely five genes. Need evidence exact quote whole clause attribution. Exact contiguous source: "Results: Five angiogenesis-related genes associated with AML prognosis were identified: ECM1, EGLN1, FKBP5, FOXP1, and SIRT2." Number is word "Five," not digit, likely accepted numerical value. They say exact quote contains the number. "value paper itself states"; unit paper prints. Unit "genes". Evidence can quote. target_result perhaps "Five angiogenesis-related genes..." Need decide parent_value 5, unit "genes", evidence exact. number_stated true. Could there be no actual headline numerical metric (e.g., AUC, HR) supplied, and we should set false because "commendable efficacy" but no number? User wording likely adversarial: registered target headline numerical result main finding. They expect discern source only provides count five. A replication target might be "5 genes". The abstract explicitly headline numerical result: five genes. They want headline number only. We can quote clause. Need valid JSON no markdown. Exact evidence perhaps "Five angiogenesis-related genes associated with AML prognosis were identified: ECM1, EGLN1, FKBP5, FOXP1, and SIRT2." It is contiguous and exact. parent_value 5. unit "genes". target_result maybe same or concise. They ask "Report headline number only" but schema has target_result. We can state result. Ensure no invention. Does unit paper print? It says "genes"; unit exact printed. Number written "Five" rather than 5 but that's still numerical. Could parent value be 5. Could "identified 5 genes" in conclusion be even more direct exact quote: "In conclusion, this study firstly comprehensive analyze the prognostic significance of angiogenesis-associated genes in LAML and identified 5 genes, namely ECM1, EGLN1, FKBP5, FOXP1, and SIRT2." This has digit 5 and direct attribution to main result. Quote whole clause? Exact contiguous. Evidence could use this sentence. It states "identified 5 genes" clearly. Unit "genes". Better. "headline number" 5. Need perhaps quote whole clause so attribution check: entire sentence is fine. They say do not shorten it. If text links target by parenthetical list etc quote whole clause. Use entire sentence. "do not shorten it" refers evidence quotation, not necessarily sentence? Exact contiguous quotation. Whole sentence safest. Target_result: "The study identified 5 genes." But that's paraphrase, yet target_result can be. They ask say what text states instead only if false. For true, likely concise. Could say "5 angiogenesis-related genes were identified." Unit separately. "Report headline number only" means perhaps target_result should not include unnecessary metrics. Fine. Need output exactly schema additional false.</think> {"parent_value":5,"unit":"genes","evidence":"In conclusion, this study firstly comprehensive analyze the prognostic significance of angiogenesis-associated genes in LAML and identified 5 genes, namely ECM1, EGLN1, FKBP5, FOXP1, and SIRT2.","target_result":"The study identified 5 angiogenesis-related genes.","number_stated":true}
reading object · 6 fields
parent_value
5
unit
genes
evidence
In conclusion, this study firstly comprehensive analyze the prognostic significance of angiogenesis-associated genes in LAML and identified 5 genes, namely ECM1, EGLN1, FKBP5, FOXP1, and SIRT2.
target_result
The study identified 5 angiogenesis-related genes.
number_stated
true
source_locator
chars 4752-4945 of source sha256 0f98f442d7e69b9ce534e09f0384f000c00153913ec9350a0531a500a2897102
recorded_at
2026-10-31T15:21:25.027720+00:00
agreement
false
disagreements object · 2 fields
analysis_methods object · 3 fields
minimax array · 6 items
[0]
Univariate Cox regression analysis
[1]
Least Absolute Shrinkage and Selection Operator (LASSO) analysis with ten-fold cross-validation
[2]
Kaplan-Meier curves with log-rank tests
[3]
Gene Ontology functional enrichment analysis
[4]
Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis
[5]
Gene Set Enrichment Analysis (GSEA)
minimax_alt array · 6 items
[0]
Optimal-cutoff classification using the survminer R package's surv_cutpoint function
[1]
Univariate Cox regression
[2]
Kaplan-Meier survival analysis with log-rank tests
[3]
Least Absolute Shrinkage and Selection Operator (LASSO) analysis using glmnet
[4]
Ten-fold cross-validation for the LASSO penalty parameter
[5]
Validation using the TCGA_LAML dataset
decisive
false
statistical_method object · 3 fields
minimax
Univariate Cox regression analysis and Least Absolute Shrinkage and Selection Operator (LASSO) analysis
minimax_alt
Univariate Cox regression and LASSO analyses
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
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not_run
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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:73e165840e4aab3e3b4dfa3123065b94dcc431530da55356d1ef6eb93141429c
type
sep_package
label
SEP v1 package for pmid:40670727
activities array · 1 item
[0] object · 4 fields
id
activity:conversion:pmid:40670727
type
conversion
used array · 1 item
[0]
package:73e165840e4aab3e3b4dfa3123065b94dcc431530da55356d1ef6eb93141429c
agent
agent:corpus-assay-engine
agents array · 3 items
[0] object · 3 fields
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agent:minimax
type
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minimax
[1] object · 3 fields
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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
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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
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fork_of
null
gaps array · 13 items
[0]
abstract
[1]
asset:source:pmid:40670727 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:40670727' does not resolve to a declared asset
[12]
targets
Complete file
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"minimax_alt", "model": "MiniMax-M3", "prompt_version": "full-text-reading-v1", "prompt_hash": "0b473f5763298808ad3dff3c885d1964d254c8dddbd0500255941541afec81aa", "source_hash": "0f98f442d7e69b9ce534e09f0384f000c00153913ec9350a0531a500a2897102", "raw_response_sha256": "sha256:13eafb6507e484d89936038ca8d785d968b66fd34409accdbe5703d0fe8fa112", "raw_response_chars": 67388}], "target_providers": [{"provider": "minimax", "model": "MiniMax-M3.1-Flash", "prompt_version": "replication-target-v2", "prompt_hash": "6390d0b3103eee9f0bd5c01a8e484ce845d926122810586571fbd556456e2b22", "source_hash": "0f98f442d7e69b9ce534e09f0384f000c00153913ec9350a0531a500a2897102", "raw_response": "{\"parent_value\":5,\"unit\":\"genes\",\"evidence\":\"Five angiogenesis-related genes associated with AML prognosis were identified: ECM1, EGLN1, FKBP5, FOXP1, and SIRT2.\",\"target_result\":\"Five angiogenesis-related genes associated with AML prognosis were identified: ECM1, EGLN1, FKBP5, FOXP1, and SIRT2.\",\"number_stated\":true}", "reading": {"parent_value": 5, "unit": "genes", "evidence": "Five angiogenesis-related genes associated with AML prognosis were identified: ECM1, EGLN1, FKBP5, FOXP1, and SIRT2.", "target_result": "Five angiogenesis-related genes associated with AML prognosis were identified: ECM1, EGLN1, FKBP5, FOXP1, and SIRT2.", "number_stated": true, "source_locator": "chars 1021-1137 of source sha256 0f98f442d7e69b9ce534e09f0384f000c00153913ec9350a0531a500a2897102"}, "recorded_at": "2026-10-31T15:21:18.675316+00:00"}, {"provider": "minimax_alt", "model": "MiniMax-M3", "prompt_version": "replication-target-v2", "prompt_hash": "ba4bc2d6d7d2de0df4a13533b07fae79d68a0f4176eb00df54fb230cefdd78f3", "source_hash": "0f98f442d7e69b9ce534e09f0384f000c00153913ec9350a0531a500a2897102", "raw_response": "<think>We need answer JSON only. Need identify headline numerical result paper states for main finding. Source abstract/results says five genes, prognostic signature efficacy maybe no numerical performance metric. Registered target vague \"headline numerical result paper states for its main finding.\" Could be 5 angiogenesis-related genes. Need exact contiguous quote containing number, unit printed. \"Five angiogenesis-related genes associated with AML prognosis were identified: ECM1...\" Number stated in word Five? parent_value numerical, unit perhaps \"genes\" printed. But prompt asks numerical result headline, paper states. Could also cohort 343 samples, but not main finding. The headline result likely five genes. Need evidence exact quote whole clause attribution. Exact contiguous source: \"Results: Five angiogenesis-related genes associated with AML prognosis were identified: ECM1, EGLN1, FKBP5, FOXP1, and SIRT2.\" Number is word \"Five,\" not digit, likely accepted numerical value. They say exact quote contains the number. \"value paper itself states\"; unit paper prints. Unit \"genes\". Evidence can quote. target_result perhaps \"Five angiogenesis-related genes...\" Need decide parent_value 5, unit \"genes\", evidence exact. number_stated true.\n\nCould there be no actual headline numerical metric (e.g., AUC, HR) supplied, and we should set false because \"commendable efficacy\" but no number? User wording likely adversarial: registered target headline numerical result main finding. They expect discern source only provides count five. A replication target might be \"5 genes\". The abstract explicitly headline numerical result: five genes. They want headline number only. We can quote clause.\n\nNeed valid JSON no markdown. Exact evidence perhaps \"Five angiogenesis-related genes associated with AML prognosis were identified: ECM1, EGLN1, FKBP5, FOXP1, and SIRT2.\" It is contiguous and exact. parent_value 5. unit \"genes\". target_result maybe same or concise. They ask \"Report headline number only\" but schema has target_result. We can state result. Ensure no invention. Does unit paper print? It says \"genes\"; unit exact printed. Number written \"Five\" rather than 5 but that's still numerical. Could parent value be 5.\n\nCould \"identified 5 genes\" in conclusion be even more direct exact quote: \"In conclusion, this study firstly comprehensive analyze the prognostic significance of angiogenesis-associated genes in LAML and identified 5 genes, namely ECM1, EGLN1, FKBP5, FOXP1, and SIRT2.\" This has digit 5 and direct attribution to main result. Quote whole clause? Exact contiguous. Evidence could use this sentence. It states \"identified 5 genes\" clearly. Unit \"genes\". Better. \"headline number\" 5. Need perhaps quote whole clause so attribution check: entire sentence is fine. They say do not shorten it. If text links target by parenthetical list etc quote whole clause. Use entire sentence. \"do not shorten it\" refers evidence quotation, not necessarily sentence? Exact contiguous quotation. Whole sentence safest.\n\nTarget_result: \"The study identified 5 genes.\" But that's paraphrase, yet target_result can be. They ask say what text states instead only if false. For true, likely concise. Could say \"5 angiogenesis-related genes were identified.\" Unit separately. \"Report headline number only\" means perhaps target_result should not include unnecessary metrics. Fine.\n\nNeed output exactly schema additional false.</think>\n\n{\"parent_value\":5,\"unit\":\"genes\",\"evidence\":\"In conclusion, this study firstly comprehensive analyze the prognostic significance of angiogenesis-associated genes in LAML and identified 5 genes, namely ECM1, EGLN1, FKBP5, FOXP1, and SIRT2.\",\"target_result\":\"The study identified 5 angiogenesis-related genes.\",\"number_stated\":true}", "reading": {"parent_value": 5, "unit": "genes", "evidence": "In conclusion, this study firstly comprehensive analyze the prognostic significance of angiogenesis-associated genes in LAML and identified 5 genes, namely ECM1, EGLN1, FKBP5, FOXP1, and SIRT2.", "target_result": "The study identified 5 angiogenesis-related genes.", "number_stated": true, "source_locator": "chars 4752-4945 of source sha256 0f98f442d7e69b9ce534e09f0384f000c00153913ec9350a0531a500a2897102"}, "recorded_at": "2026-10-31T15:21:25.027720+00:00"}], "agreement": false, "disagreements": {"analysis_methods": {"minimax": ["Univariate Cox regression analysis", "Least Absolute Shrinkage and Selection Operator (LASSO) analysis with ten-fold cross-validation", "Kaplan-Meier curves with log-rank tests", "Gene Ontology functional enrichment analysis", "Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis", "Gene Set Enrichment Analysis (GSEA)"], "minimax_alt": ["Optimal-cutoff classification using the survminer R package's surv_cutpoint function", "Univariate Cox regression", "Kaplan-Meier survival analysis with log-rank tests", "Least Absolute Shrinkage and Selection Operator (LASSO) analysis using glmnet", "Ten-fold cross-validation for the LASSO penalty parameter", "Validation using the TCGA_LAML dataset"], "decisive": false}, "statistical_method": {"minimax": "Univariate Cox regression analysis and Least Absolute Shrinkage and Selection Operator (LASSO) analysis", "minimax_alt": "Univariate Cox regression and LASSO analyses", "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:73e165840e4aab3e3b4dfa3123065b94dcc431530da55356d1ef6eb93141429c", "type": "sep_package", "label": "SEP v1 package for pmid:40670727"}], "activities": [{"id": "activity:conversion:pmid:40670727", "type": "conversion", "used": ["package:73e165840e4aab3e3b4dfa3123065b94dcc431530da55356d1ef6eb93141429c"], "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": "2996f67c-d385-408c-9baa-a00c3ed99135", "parent_hash": "73e165840e4aab3e3b4dfa3123065b94dcc431530da55356d1ef6eb93141429c", "fork_of": null, "generation": 1}, "gaps": ["abstract", "asset:source:pmid:40670727 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:40670727' does not resolve to a declared asset", "targets"]}