{"id":"W2946071563","doi":"10.1136/ijgc-00009577-200409001-00385","title":"385 Ovarian Cancer (Eoc): Relapse Outcomes and A Predictive Survival Model","year":2004,"lang":"en","type":"article","venue":"International Journal of Gynecological Cancer","topic":"Ovarian cancer diagnosis and treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"BC Cancer Agency","funders":"","keywords":"Medicine; Oncology; Ovarian cancer; Internal medicine; Gynecology; Cancer","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":[0.00222629,0.0006609449,0.0006260193,0.00121914,0.0003885655,0.0011095,0.001032981,0.001025971,0.004318611],"category_scores_gemma":[0.00629884,0.0002544165,0.0009577483,0.0009315618,0.0003898567,0.0006808537,0.0007067632,0.001074201,0.0007053091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005862952,"about_ca_system_score_gemma":0.001108764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007324879,"about_ca_topic_score_gemma":0.004740736,"domain_scores_codex":[0.999621,0.0001530853,0.00002078767,0.00007244106,0.00004080911,0.00009190321],"domain_scores_gemma":[0.9969856,0.002034051,0.0003492638,0.0001966566,0.0001573845,0.0002770738],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002684159,0.0004427429,0.8918362,0.00005815376,0.0003818506,0.0003367238,0.00008811281,0.06220262,0.0003430825,0.001661622,0.003986439,0.03597832],"study_design_scores_gemma":[0.0002562012,0.0006280658,0.1921941,0.00005996525,0.0007494817,0.0006109973,0.0001939104,0.7967734,0.0005053724,0.006533475,0.001458028,0.00003704689],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882762,0.0004974914,0.006317943,0.001412809,0.00007257559,0.0000353833,0.001648041,0.0001409989,0.001598634],"genre_scores_gemma":[0.9976375,0.00009369585,0.0005115676,0.00003219192,0.00005294472,0.00001891644,0.0007767755,0.000009456809,0.0008669905],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007324879,"threshold_uncertainty_score":0.01456445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03374795050073014,"score_gpt":0.3460067210773468,"score_spread":0.3122587705766166,"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."}}