{"id":"W4393092971","doi":"10.1158/1538-7445.am2024-4974","title":"Abstract 4974: Development of an ovarian cancer diagnosis score using electronic health records","year":2024,"lang":"en","type":"article","venue":"Cancer Research","topic":"Cardiovascular Health and Risk Factors","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Cancer; Ovarian cancer; Health records; Oncology; Internal medicine; Gynecology; Health care; Political science","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":[0.005117027,0.0003197835,0.0003797178,0.004045652,0.0002854932,0.001086192,0.0005532129,0.0003368625,0.002816274],"category_scores_gemma":[0.02195225,0.0001886278,0.0007939652,0.003976354,0.0002116604,0.0008961543,0.0009688691,0.00046958,0.0007361777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008097891,"about_ca_system_score_gemma":0.001308277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004242101,"about_ca_topic_score_gemma":0.005682805,"domain_scores_codex":[0.9956419,0.001654166,0.001017067,0.0002942209,0.001201231,0.0001913464],"domain_scores_gemma":[0.9815435,0.006041541,0.007969684,0.0006295908,0.003276656,0.0005390453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001073592,0.00008947802,0.980827,0.0000671319,0.0001276993,0.00002991635,0.00005816784,0.0005477861,0.000125126,0.0001336714,0.002193894,0.01569285],"study_design_scores_gemma":[0.00005867469,0.0002402512,0.9881091,0.00005479864,0.0001073576,0.000102664,0.0002188088,0.008100684,0.0005089832,0.0001645441,0.00232086,0.00001323782],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9590601,0.0001879708,0.008126429,0.0006495853,0.00006032429,0.001360734,0.02505768,0.0002020587,0.005295111],"genre_scores_gemma":[0.9611877,0.0001849193,0.01870853,0.0001191535,0.0000608658,0.001055646,0.01784122,0.0000172645,0.0008247899],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.005117027,"threshold_uncertainty_score":0.02706176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.160261404877141,"score_gpt":0.4879002879306825,"score_spread":0.3276388830535416,"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."}}