{"id":"W3161486510","doi":"10.1097/01.ogx.0000751592.86339.dc","title":"The World Ovarian Cancer Coalition Every Woman Study: Identifying Challenges and Opportunities to Improve Survival and Quality of Life","year":2021,"lang":"en","type":"article","venue":"Obstetrical & Gynecological Survey","topic":"Ovarian cancer diagnosis and treatment","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Medicine; Ovarian cancer; Incidence (geometry); Quality of life (healthcare); Cancer; Population; Gynecology; Oncology; Demography; Gerontology; Internal medicine; Environmental health; Nursing","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001446065,0.0001954833,0.0006823695,0.00007247528,0.000184745,0.00007325153,0.00007864756,0.00009670269,0.0001682923],"category_scores_gemma":[0.005528191,0.0001257286,0.00007377984,0.0002782781,0.0001396308,0.0000604515,0.0002310854,0.0001906009,0.000002247254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001618728,"about_ca_system_score_gemma":0.0001759262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001047696,"about_ca_topic_score_gemma":0.0117484,"domain_scores_codex":[0.9970239,0.001187429,0.0005387025,0.0005163481,0.0004209081,0.0003127608],"domain_scores_gemma":[0.9897388,0.009100337,0.0001448588,0.0003055313,0.0002986048,0.0004119092],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004520953,0.001736103,0.85691,0.0001566191,0.0005222821,0.0001312946,0.0003746556,9.449532e-7,0.00009519649,0.00421303,0.0002901768,0.1351176],"study_design_scores_gemma":[0.001847135,0.0006211842,0.9925041,0.00003402114,0.0000888627,9.757231e-7,0.00193081,0.000004127236,0.00005330385,0.00009710879,0.00267578,0.0001426224],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9632615,0.02634481,0.00001200842,0.007686581,0.000704021,0.0006915195,0.0001031716,0.00003148712,0.001164951],"genre_scores_gemma":[0.9883113,0.009986725,0.00007197158,0.0005625673,0.00007445735,0.0001649805,0.00001893443,0.00001292436,0.0007961192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1355941,"threshold_uncertainty_score":0.6618159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2743647580168598,"score_gpt":0.3832796960037907,"score_spread":0.1089149379869309,"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."}}