Clinicopathologic and proteomic characteristics of low-grade undifferentiated spindle cell sarcoma.

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"0.975"], ["≤50y", "46 (39.0)", "5 (35.7)", "41 (39.4)", "0.789"], [">50y", "72 (61.0)", "9 (64.3)", "63 (60.6)"], ["Gender"], ["Female", "43 (36.4)", "5 (35.7)5", "38 (36.5)", "0.952"], ["Male", "75 (63.6)", "9 (64.3)", "66 (63.5)"], ["Tumor size"], ["Mean (cm)", "9.1 ± 5.2", "7.6 ± 6.5", "9.3 ± 5.0", "0.245"], ["Location"], ["abdomen", "16 (13.6)", "4 (28.6)", "12 (11.5)", "0.398"], ["axilla", "1 (0.8)", "0 (0.0)", "1 (0.8)"], ["back", "6 (5.1)", "1 (7.1)", "5 (4.8)"], ["chest", "5 (4.2)", "0 (0.0)", "5 (4.2)"], ["head and neck", "3 (2.5)", "1 (7.1)", "2 (1.9)"], ["kidney", "1 (0.8)", "0 (0.0)", "1 (0.8)"], ["liver", "2 (1.7)", "1 (0.8)", "1 (0.8)"], ["lower limb", "69 (58.5)", "5 (35.7)", "64 (61.5)"], ["supraclavicular fossa", "1 (0.8)", "0 (0.0)", "1 (1.0)"], ["upper limb", "14 (11.9)", "2 (14.3)", "12 (11.5)"], ["Distant metastasis"], ["Yes", "16 (13.6)", "1 (7.1)", "15 (14.4)", "0.681"], ["No", "69 (58.5)", "10 (71.4)", "59 (56.7)"], ["NA", "33 (28.0)", "3 (21.4)", "30 (28.8)"], 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Need identify single numerical result replication registered target headline numerical result paper states for main finding. Ambiguity. Need infer likely target = headline numerical result in abstract? Paper says 14 low-grade USCS and 104 UPS; &gt;5600 proteins identified; low-grade had 353 upregulated and 500 downregulated. Registered target \"headline numerical result the paper states for its main finding.\" They expect perhaps 5600 proteins? Need carefully parse request. They ask \"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.\" Target supplied vague: \"the headline numerical result the paper states for its main finding\". Need identify likely headline numerical result based on source. In abstract: \"More than 5600 proteins could be identified.\" This might be headline numerical result. Or 353 upregulated and 500 downregulated proteins = two numbers, not single. Sample sizes 14 and 104, two. The singular main numerical result perhaps 6,677 proteins identified / 5,687 comparison, but results section. Yet \"headline numerical result\" likely abstract's standout number, 5600 proteins. They want number perhaps 5600 and unit proteins. Need quote exact contiguous clause: \"More than 5600 proteins could be identified.\" Parent value numeric 5600, unit \"proteins\". target_result maybe \"More than 5600 proteins could be identified.\" Or target result field text description. number_stated true.\n\nBut perhaps headline result is \"Low-grade USCSs had 353 upregulated and 500 downregulated proteins compared to corresponding normal tissue.\" That is main finding, yet not single number. They explicitly singular \"single numerical result\". Registered target perhaps benchmark extraction where target label itself refers to something broad? Usually prompt generation asks \"REGISTERED TARGET: the headline numerical result the paper states for its main finding\" and source. Need find likely one number. Could be sample count 14? Let's understand expected schema naming parent_value perhaps used in tasks to extract value attached to target. Target_result textual. \"number_stated\" if no number. Here target is tautological, likely intended headline number from abstract. The abstract's prominent quantitative conclusion: &gt;5600 proteins identified. Later says 6,677 total and 5,687 available comparison. But headline says \"More than 5600 proteins could be identified.\" Since replication of main finding likely reproduce number of identified proteins, perhaps 5600. They emphasize value paper itself states, not calculated/converted/averaged/reconstructed. So use printed \"5600\" (not 6,677? Both printed). Unit paper prints \"proteins\". Exact quote.\n\nNeed ensure JSON valid and no extra. parent_value 5600 number, unit \"proteins\", evidence exact quote. target_result perhaps \"More than 5600 proteins could be identified.\" Should we mention \"more than\" because parent_value can't encode inequality except 5600. Unit must exact unit printed. target_result can be same. number_stated true.\n\nCould evidence include whole clause perhaps \"We conducted a comprehensive mass spectrometry (MS) proteomic analysis on USCSs and compared the clinicopathologic characteristics of low-grade USCSs and UPSs. More than 5600 proteins could be identified.\" They say quote whole clause if attribution via wording. \"More than 5600 proteins could be identified.\" itself enough attribution? Yes target main finding and subject implied from prior sentence. To allow reader check, perhaps quote two sentences, but exact contiguous. Yet target registered = headline numerical result main finding; no named target. The quote with method identifies context. However evidence must contain number and exact contiguous; can include preceding sentence. \"We conducted ... More than 5600 proteins could be identified.\" This helps attribution. Should we use abstract occurrence. Unit \"proteins\" exact.\n\nCould target_result be \"More than 5600 proteins could be identified.\" Fine.\n\nLet's answer.</think>\n\n{\"parent_value\":5600,\"unit\":\"proteins\",\"evidence\":\"We conducted a comprehensive mass spectrometry (MS) proteomic analysis on USCSs and compared the clinicopathologic characteristics of low-grade USCSs and UPSs. More than 5600 proteins could be identified.\",\"target_result\":\"More than 5600 proteins could be identified.\",\"number_stated\":true}", "reading": {"parent_value": 5600, "unit": "proteins", "evidence": "We conducted a comprehensive mass spectrometry (MS) proteomic analysis on USCSs and compared the clinicopathologic characteristics of low-grade USCSs and UPSs. More than 5600 proteins could be identified.", "target_result": "More than 5600 proteins could be identified.", "number_stated": true, "source_locator": "chars 435-639 of source sha256 fc752977cf3ff13ad66a20a2ea348c5b131bb0d097569a121ac8a8eb1ffec9cb"}, "recorded_at": "2026-10-31T15:20:50.804263+00:00"}], "agreement": false, "disagreements": {"work_type": {"minimax": "analysis_plus_physical_validation", "minimax_alt": "physical_data_generation", "decisive": true}, "analysis_methods": {"minimax": ["differential protein analysis", "KEGG pathway enrichment analysis", "GO enrichment analysis", "Reactome enrichment analysis", "WikiPathways enrichment analysis", "protein domain enrichment analysis", "protein interaction network analysis"], "minimax_alt": ["quantitative analysis of protein intensity values", "GO, KEGG, protein domain, Reactome and WikiPathways enrichment analyses", "protein interaction network analysis", "DrugBank drug target prediction"], "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": "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:c5491a654b26965bef36b115f08968a83730b9d8132be497a91d73b18438f515", "type": "sep_package", "label": "SEP v1 package for pmid:40666499"}], "activities": [{"id": "activity:conversion:pmid:40666499", "type": "conversion", "used": ["package:c5491a654b26965bef36b115f08968a83730b9d8132be497a91d73b18438f515"], "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:40666499", "parent_hash": "sha256:79011f04aca003c80e503d391b6394400c48dcbba93531b71dfc154a8986e5b4", "fork_of": null, "generation": 2}, "gaps": ["abstract", "asset:source:pmid:40666499 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:40666499' does not resolve to a declared asset", "targets"]}