{"id":"W3166889753","doi":"10.1158/1557-3265.ovcasymp18-dp-006","title":"Abstract DP-006: THE EFFECT OF AGE AND OCP USE ON THE INCIDENCE OF PRE-CANCEROUS P53 LESIONS AND THE DEVELOPMENT OF HIGH GRADE SEROUS OVARIAN CARCINOMA","year":2019,"lang":"en","type":"article","venue":"Clinical Cancer Research","topic":"Ovarian cancer diagnosis and treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Serous fluid; Serous carcinoma; Incidence (geometry); Ovarian cancer; Cohort; Cancer; Hysterectomy; Immunohistochemistry; Gynecology; Internal medicine; Oncology; Pathology","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":[0.0005800643,0.0002056126,0.0001969075,0.0004768783,0.0001853047,0.0003738496,0.0003062664,0.0003027652,0.007237572],"category_scores_gemma":[0.001267168,0.0001179704,0.0003439853,0.0004599355,0.0001802728,0.0002486792,0.000214947,0.0004667441,0.0005214339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002541431,"about_ca_system_score_gemma":0.0002887928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001317265,"about_ca_topic_score_gemma":0.001016334,"domain_scores_codex":[0.9997082,0.00008528275,0.00002262366,0.000063071,0.00007497257,0.00004575251],"domain_scores_gemma":[0.9987896,0.0002966331,0.0004444077,0.00005512778,0.0001343719,0.0002799096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01181816,0.0006788975,0.9646132,0.0001727652,0.0002310557,0.0002534577,0.00005039471,0.00007567074,0.006125072,0.00004155298,0.0008798197,0.01506005],"study_design_scores_gemma":[0.0001063563,0.003481331,0.9933066,0.00001057688,0.0001272715,0.0003649731,0.00005267478,0.0001124644,0.001208562,0.00003237724,0.001193122,0.000003819971],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956844,0.0009414079,0.0001342842,0.0001135276,0.00004517073,0.00005296205,0.001470831,0.000008683786,0.001548721],"genre_scores_gemma":[0.9966388,0.0002248081,0.0001706382,0.00007362922,0.00003636987,0.00005394345,0.0006683013,0.000003157506,0.002130324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007237572,"threshold_uncertainty_score":0.02421212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1610149103827882,"score_gpt":0.4537332713864144,"score_spread":0.2927183610036262,"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."}}