{"id":"W2794460351","doi":"10.1186/s12885-018-4242-8","title":"Characteristics and outcome of the COEUR Canadian validation cohort for ovarian cancer biomarkers","year":2018,"lang":"en","type":"article","venue":"BMC Cancer","topic":"Ovarian cancer diagnosis and treatment","field":"Medicine","cited_by":135,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Ottawa Hospital; University of Manitoba; University of Calgary; Vancouver General Hospital; University of British Columbia; Jewish General Hospital; Ontario Institute for Cancer Research; Université de Sherbrooke; University of Toronto; Centre hospitalier universitaire de Québec; BC Cancer Agency; University of Ottawa; McGill University Health Centre; McGill University; Centre Hospitalier de l’Université de Montréal","funders":"Terry Fox Research Institute","keywords":"Surgical oncology; Medicine; Ovarian cancer; Cohort; Oncology; Outcome (game theory); Internal medicine; Gynecology; Cohort study; Cancer","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.002262486,0.0006623903,0.0007106558,0.001816488,0.0027076,0.001305007,0.001470212,0.0006684797,0.001709663],"category_scores_gemma":[0.004678735,0.0004080338,0.0006536613,0.00308133,0.0008995218,0.0003643305,0.001319228,0.0006403216,0.0003379243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009940919,"about_ca_system_score_gemma":0.01601487,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.898232,"about_ca_topic_score_gemma":0.8894219,"domain_scores_codex":[0.9981633,0.0001319217,0.00008526399,0.0004649867,0.0006274235,0.0005270196],"domain_scores_gemma":[0.9969745,0.0002621557,0.0004780329,0.000477033,0.001327599,0.0004806933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003788988,0.00003575239,0.9917338,0.00002136523,0.0001034484,0.0001658442,0.000422367,0.0002298306,0.0007338958,0.0001666575,0.003010553,0.002997434],"study_design_scores_gemma":[0.00003564138,0.0000642427,0.9959677,0.00001515896,0.00005680868,0.0002451925,0.0003578533,0.0005009685,0.0001316027,0.00005108217,0.002550495,0.00002323231],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839693,0.0003213744,0.0002918873,0.0001883172,0.00001161913,0.0001374978,0.01365172,0.00001881496,0.001409511],"genre_scores_gemma":[0.9812068,0.0001928855,0.0003750328,0.0001401779,0.00001164066,0.0001574944,0.01717738,0.0000226377,0.0007159186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.898232,"threshold_uncertainty_score":0.2047346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04242073023013328,"score_gpt":0.3299152084129289,"score_spread":0.2874944781827957,"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."}}