{"id":"W3035508928","doi":"10.1136/ijgc-2019-000983","title":"The World Ovarian Cancer Coalition Every Woman Study: identifying challenges and opportunities to improve survival and quality of life","year":2020,"lang":"en","type":"article","venue":"International Journal of Gynecological Cancer","topic":"Ovarian cancer diagnosis and treatment","field":"Medicine","cited_by":97,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; Ovarian Cancer Canada","funders":"","keywords":"Medicine; Incidence (geometry); Quality of life (healthcare); Quarter (Canadian coin); Family medicine; Cancer; Gynecology; Demography; Internal medicine; Nursing","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002361434,0.0003174101,0.0007933926,0.0008560671,0.001464851,0.001471622,0.000729309,0.000990007,0.0019239],"category_scores_gemma":[0.006492319,0.0002679259,0.0008086247,0.002115946,0.0002887193,0.001114551,0.002689396,0.001454911,0.0002489746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001226632,"about_ca_system_score_gemma":0.0047407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05229176,"about_ca_topic_score_gemma":0.1244386,"domain_scores_codex":[0.9989161,0.0004674724,0.00007943678,0.00007212604,0.0001890596,0.0002757843],"domain_scores_gemma":[0.9977585,0.0003389347,0.0006163953,0.0001214912,0.0002948849,0.0008698371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008064572,0.0004834278,0.963069,0.0001566368,0.0004700189,0.0001123937,0.0009589066,0.00004140882,0.00009540671,0.0004159765,0.01396478,0.01942572],"study_design_scores_gemma":[0.0003943852,0.0002592301,0.9854444,0.0001988055,0.0003910206,0.0001065363,0.00457212,0.0001099465,0.00005068551,0.0002247341,0.008221528,0.0000266622],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9624488,0.003377005,0.0002133574,0.01836842,0.0003548813,0.0003812269,0.007796522,0.00001186697,0.007047995],"genre_scores_gemma":[0.9852785,0.001953922,0.0004732591,0.00313832,0.000211279,0.0007712319,0.005874322,0.00001655428,0.002282598],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05229176,"threshold_uncertainty_score":0.1039748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2505835560051818,"score_gpt":0.4073779733004365,"score_spread":0.1567944172952547,"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."}}