Exploring markers in nursing care of prostate cancer.

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"hsa-miR-124-3p.1", "", ""], ["6", "MYLK", "hsa-miR-129-5p", "", ""], ["7", "MYOCD", "hsa-miR-449a", "hsa-miR-34a-5p", "hsa-miR-34c-5p"], ["8", "ACTC1", "hsa-miR-7-5p", "", ""], ["9", "LMOD1", "hsa-miR-133a-3p.1", "", ""], ["10", "TPM2", "hsa-miR-193a-3p", "hsa-miR-193b-3p", ""]], "row_count": 11, "column_count": 5, "numeric_cells": 28, "header_rows": 1, "locator": "section[23]/table-wrap[1]#T1"}}], "gaps": ["asset:source:pmid:39854742 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:39854742", "asset:table:pmid:39854742:1"], "steps": ["read_published_estimate"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": ["xml"], "capabilities": [], "data_gaps": ["source:pmid:39854742"]}, "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": "d0a38ce9520b82cfeb5a1960a3cb54a3c5789cc015e896b8a34fcca97c653dd3", "source_hash": "862a5bc33efba073b3e17986d2c51883f2dcc4a15c3c2b016c0a50e2a1152f0b", "raw_response_sha256": "sha256:f425de26cf2e4aed7efa6b767eb4634c1e49fdc09266455d33fc90c5dba5a884", "raw_response_chars": 4619}, {"provider": "minimax_alt", "model": "MiniMax-M3", "prompt_version": "full-text-reading-v1", "prompt_hash": "66faf65c8a2f69066954ba23c71fb1f500e16dfd24345ec9a1863c378c07c1c4", "source_hash": "862a5bc33efba073b3e17986d2c51883f2dcc4a15c3c2b016c0a50e2a1152f0b", "raw_response_sha256": "sha256:b4ddb2c67febd146f3db6d8a9d77c6b2952b5ea999335b65fb95186e8481cf85", "raw_response_chars": 26013}], "target_providers": [{"provider": "minimax", "model": "MiniMax-M3.1-Flash", "prompt_version": "replication-target-v2", "prompt_hash": "852c09111438942c6bf89a0c78c5f185c08f94e0fa3c908f49492bfb1919353d", "source_hash": "862a5bc33efba073b3e17986d2c51883f2dcc4a15c3c2b016c0a50e2a1152f0b", "raw_response": "{\"parent_value\":1151,\"unit\":\"DEGs\",\"evidence\":\"A total of 1151 DEGs were found, most of them focusing on systematic development, cell development, cell differentiation, regulation of multicellular biological processes, anatomical morphogenesis, MAPK signaling pathway, proteoglycans in cancer, fluid shear stress, and atherosclerosis.\",\"target_result\":\"1151 DEGs\",\"number_stated\":true}", "reading": {"parent_value": 1151, "unit": "DEGs", "evidence": "A total of 1151 DEGs were found, most of them focusing on systematic development, cell development, cell differentiation, regulation of multicellular biological processes, anatomical morphogenesis, MAPK signaling pathway, proteoglycans in cancer, fluid shear stress, and atherosclerosis.", "target_result": "1151 DEGs", "number_stated": true, "source_locator": "chars 562-849 of source sha256 862a5bc33efba073b3e17986d2c51883f2dcc4a15c3c2b016c0a50e2a1152f0b"}, "recorded_at": "2026-10-31T15:21:27.086084+00:00"}, {"provider": "minimax_alt", "model": "MiniMax-M3", "prompt_version": "replication-target-v2", "prompt_hash": "b6dd9ee4002cb4471a5047bacf39755f20ea02b37b0ea3995efd3aaaba6a6298", "source_hash": "862a5bc33efba073b3e17986d2c51883f2dcc4a15c3c2b016c0a50e2a1152f0b", "raw_response": "<think>We need answer JSON only. Need interpret question: single numerical result replication registered target headline numerical result paper states for main finding. Source has \"A total of 1151 DEGs were found\" perhaps headline numerical result? Or 10 core genes. Need identify \"main finding\" and registered target broad. User asks \"single numerical result that a replication of the registered target has to reproduce. Report headline number only: value paper itself states for registered target... registered target: headline numerical result the paper states for its main finding.\" We need infer likely target value. Source abstract: \"A total of 1151 DEGs were found...\" Main finding perhaps \"10 core genes...\"? The paper title exploring markers nursing care prostate cancer. Headline numerical result likely number of DEGs = 1151, or number core genes = 10. Need examine wording and request likely benchmark task \"parent_value\" maybe asks numerical result attached to registered target. They explicitly mention parenthetical list / respectively / direct naming. Registered target generic. Need select single numerical result. Could be \"A total of 1151 DEGs were found\" likely headline. Unit \"DEGs\". Evidence exact contiguous quotation. Target_result concise. parent_value number 1151. Unit \"DEGs\". Evidence perhaps \"A total of 1151 DEGs were found\" exact. target_result \"A total of 1151 DEGs were found.\" number_stated true.\n\nBut need be certain. Let's parse source. Abstract:\n\"We found prostate cancer GSE141551 and GSE200879 profiles ... A total of 1151 DEGs were found, most of them focusing ... The core genes (10 names) obtained in end are all lowly expressed ... LMOD1 and SMTN are lowly expressed ... may be used as markers...\"\nMain finding perhaps core genes list, with count ten. The \"headline numerical result\" perhaps \"10 genes associated with hypertension, tumor metastasis, prostate tumor, and tumor invasiveness\". However paper does not explicitly phrase \"10 main finding\"; it lists 10. Replication of registered target \"headline numerical result\" maybe asks result of study, often number participants/sample size, etc. Here likely 1151 DEGs as numerical abstract result. They request headline number only and exact quote attribution. Number attached directly via wording.\n\nCould target be 2 genes (LMOD1/SMTN) as markers? Yet paper doesn't state \"2\"; list of two names. Can't infer/calculate. It says 10 genes in CTD analysis. Numerical result explicitly stated. \"single numerical result\" likely asks identify among all numbers. Need decide.\n\nMaybe benchmark is designed to ask \"find single numerical result that a replication of the registered target has to reproduce\" where REGISTERED TARGET could correspond to entity? The target says \"the headline numerical result the paper states for its main finding\", broad. Need choose main headline. Abstract highlights 1151 DEGs first. \"A total of 1151 DEGs were found\" is strongest clear result. Unit printed? DEGs. Need exact unit paper prints. Could unit be \"DEGs\" yes. No unit as count perhaps \"DEGs\". parent_value numeric 1151.\n\nEvidence exact contiguous quote containing number. Could include full sentence: \"A total of 1151 DEGs were found, most of them focusing on systematic development, cell development, cell differentiation, regulation of multicellular biological processes, anatomical morphogenesis, MAPK signaling pathway, proteoglycans in cancer, fluid shear stress, and atherosclerosis.\" This demonstrates headline result. Requirement \"When text links them, quote whole clause\". Exact sentence good. They demand \"do not shorten it\" perhaps means quote exact evidence not truncate relevant attribution; use full sentence.\n\ntarget_result likely \"The paper states that a total of 1151 differentially expressed genes were found.\" Unit \"DEGs\". Evidence exact source. Could include \"A total...\" full sentence. JSON no markdown.\n\nNeed ensure no issue \"headline numerical result for main finding\" might instead be \"10 core genes\". Let's inspect phrasing. Title and conclusion. Abstract says \"A total of 1151 DEGs were found...\" then functional findings, then \"The core genes (list)...\" Main finding likely LMOD1 and SMTN. Headline number could be 2 marker genes, but paper doesn't state a numerical result for that, and instruction says if no number set false and describe. Hmm perhaps registered target intentionally main finding and source doesn't assign count to \"LMOD1 and SMTN\" except names. They ask single numerical result paper states. Maybe expected answer could be 1151 because explicitly numerical headline result. Why wording \"registered target: the headline numerical result the paper states for its main finding\" perhaps target is not a named metric like sample size, but asks \"headline number.\" In text 1151 is the only obvious abstract headline count. Other numbers: GSE IDs (not results), P thresholds, analysis parameters, 2 groups, 1000 samplings, 10 genes, 2 markers, versions. Thus 1151 clear.\n\nUnit must paper prints. \"DEGs\". Evidence full sentence. target_result no extra calculated.\n\nNeed output valid JSON. parent_value number 1151. unit maybe \"DEGs\" (paper prints). target_result perhaps \"A total of 1151 DEGs were found.\" Exact enough. number_stated true.\n\nLet's formulate.</think>\n\n{\"parent_value\":1151,\"unit\":\"DEGs\",\"evidence\":\"A total of 1151 DEGs were found, most of them focusing on systematic development, cell development, cell differentiation, regulation of multicellular biological processes, anatomical morphogenesis, MAPK signaling pathway, proteoglycans in cancer, fluid shear stress, and atherosclerosis.\",\"target_result\":\"A total of 1151 DEGs were found.\",\"number_stated\":true}", "reading": {"parent_value": 1151, "unit": "DEGs", "evidence": "A total of 1151 DEGs were found, most of them focusing on systematic development, cell development, cell differentiation, regulation of multicellular biological processes, anatomical morphogenesis, MAPK signaling pathway, proteoglycans in cancer, fluid shear stress, and atherosclerosis.", "target_result": "A total of 1151 DEGs were found.", "number_stated": true, "source_locator": "chars 562-849 of source sha256 862a5bc33efba073b3e17986d2c51883f2dcc4a15c3c2b016c0a50e2a1152f0b"}, "recorded_at": "2026-10-31T15:21:36.438055+00:00"}], "agreement": true, "disagreements": {"target_result": {"minimax": "A total of 1151 DEGs were found, most of them focusing on systematic development, cell development, cell differentiation, regulation of multicellular biological processes, anatomical morphogenesis, MAPK signaling pathway, proteoglycans in cancer, fluid shear stress, and atherosclerosis.", "minimax_alt": "A total of 1151 DEGs were found", "decisive": false}, "analysis_methods": {"minimax": ["differentially expressed genes (DEGs) analysis", "weighted gene co-expression network analysis (WGCNA)", "protein–protein interaction analysis", "gene function enrichment analysis", "comparative toxicology database analysis", "GO–KEGG analysis", "gene set enrichment analysis (GSEA)", "CTD analysis"], "minimax_alt": ["differentially expressed genes (DEGs) analysis", "weighted gene co-expression network analysis (WGCNA)", "protein–protein interaction analysis", "gene function enrichment analysis", "comparative toxicology database analysis (CTD)", "GO–KEGG analysis", "gene set enrichment analysis (GSEA)"], "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:87ada7d7a162c2b23335c392e2a9e30c2673c48ebda6a2abd8beb3b2f750d8c9", "type": "sep_package", "label": "SEP v1 package for pmid:39854742"}], "activities": [{"id": "activity:conversion:pmid:39854742", "type": "conversion", "used": ["package:87ada7d7a162c2b23335c392e2a9e30c2673c48ebda6a2abd8beb3b2f750d8c9"], "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:39854742", "parent_hash": "sha256:df63a71878266acd7b4307fb04a741231ccaf44b3ac7d669657cafb7b8aba3ef", "fork_of": null, "generation": 2}, "gaps": ["abstract", "asset:source:pmid:39854742 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:39854742' does not resolve to a declared asset", "targets"]}