{"id":"W4389203868","doi":"10.3390/curroncol30120741","title":"Ovarian Cancer: From Precursor Lesion Identification to Population-Based Prevention Programs","year":2023,"lang":"en","type":"article","venue":"Current Oncology","topic":"Ovarian cancer diagnosis and treatment","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Salpingectomy; Ovarian cancer; Fallopian tube; Etiology; Serous carcinoma; Oncology; Cancer prevention; Population; Gynecology; Cancer; Intensive care medicine; Internal medicine; Bioinformatics; Pregnancy; Environmental health; Biology; Genetics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0001778111,0.0001375849,0.0002715334,0.0001768817,0.00008503923,0.00002547548,0.00007288319,0.0001029894,0.0002527811],"category_scores_gemma":[0.00005434785,0.0001253763,0.0001015491,0.0004947087,0.00001550387,0.00005231433,0.00002787404,0.0001051018,0.0004267834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007081982,"about_ca_system_score_gemma":0.0003030898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005627709,"about_ca_topic_score_gemma":0.0005889736,"domain_scores_codex":[0.9986795,0.00008601699,0.0003362375,0.0004351315,0.0002256182,0.0002375582],"domain_scores_gemma":[0.9992247,0.00007051874,0.0001432818,0.000287585,0.0001087768,0.0001651604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001209235,0.0008352084,0.3332841,0.00004957545,0.00004695251,0.000006424105,0.0001506334,0.00006613437,0.0002273836,0.0001163831,0.004418689,0.6606776],"study_design_scores_gemma":[0.002160536,0.0005908425,0.8955683,0.0003475125,0.0002553482,8.470826e-7,0.00003344907,0.001134889,0.0006485225,0.0005009972,0.09863891,0.000119864],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9810923,0.000699313,0.0009899879,0.01171592,0.002978755,0.002027973,0.00007356136,0.0002799221,0.0001422594],"genre_scores_gemma":[0.9934627,0.0002151246,0.0006293464,0.0001192481,0.0005182606,0.001816345,0.002871748,0.00002465062,0.0003425258],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6605577,"threshold_uncertainty_score":0.548558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1816046730534932,"score_gpt":0.4615805200789528,"score_spread":0.2799758470254596,"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."}}