{"id":"W4415764619","doi":"10.1158/1078-0432.ccr-25-2851","title":"Biomarkers in High-Grade Serous Ovarian Cancer: Context Is Everything","year":2025,"lang":"en","type":"article","venue":"Clinical Cancer Research","topic":"Ovarian cancer diagnosis and treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Princess Margaret Cancer Centre; University Health Network","funders":"","keywords":"Context (archaeology); Serous fluid; Serous ovarian cancer; Biomarker; Serous carcinoma; Ovarian carcinoma; Carcinoma","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01117625,0.0008098265,0.002705213,0.001234219,0.001319586,0.003593471,0.002452582,0.009549382,0.002100712],"category_scores_gemma":[0.04090935,0.0004829415,0.001413722,0.001371154,0.004724406,0.005890786,0.001691179,0.0215168,0.001135123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002777296,"about_ca_system_score_gemma":0.003732234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006405915,"about_ca_topic_score_gemma":0.01189649,"domain_scores_codex":[0.9920751,0.0037373,0.001118054,0.0008538843,0.001925707,0.0002899877],"domain_scores_gemma":[0.9480097,0.03737769,0.00196717,0.0006541416,0.01082333,0.001167967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003578916,0.00002314742,0.001061645,0.003393137,0.000302141,0.0006227893,0.0004738905,0.0003547825,0.0006931575,0.01600624,0.8091952,0.167516],"study_design_scores_gemma":[0.0001061852,0.0001676256,0.002529605,0.01059053,0.000238637,0.001483049,0.0007133453,0.0004125714,0.0005323737,0.03633143,0.946748,0.0001466706],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0003375162,0.2664784,0.0004808723,0.6810108,0.05058664,0.000008182184,0.000110659,0.00001970975,0.0009671459],"genre_scores_gemma":[0.01146946,0.3216792,0.001073836,0.4284846,0.2347903,0.00003482923,0.000117779,0.00004977025,0.002300246],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01117625,"threshold_uncertainty_score":0.05910635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1969106144344198,"score_gpt":0.531483358529785,"score_spread":0.3345727440953652,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}