{"id":"W4286295495","doi":"10.1200/jco.2022.40.16_suppl.5546","title":"Validation of the integrated prediction model algorithm for outcome of cytoreduction in advanced ovarian cancer.","year":2022,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Ovarian cancer diagnosis and treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sinai Health System; Princess Margaret Cancer Centre; University Health Network","funders":"","keywords":"Medicine; Retrospective cohort study; Ovarian cancer; Cohort; Triage; Stage (stratigraphy); Surgery; Oncology; Youden's J statistic; Cancer; Internal medicine; Algorithm; Predictive value; Emergency medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005152611,0.0008262289,0.0009218766,0.001227652,0.0003071788,0.0009963025,0.0009762439,0.0006681739,0.001855124],"category_scores_gemma":[0.01250918,0.000340014,0.0008611447,0.0007060004,0.0001807256,0.0005361376,0.000871491,0.001028604,0.0005464337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009978884,"about_ca_system_score_gemma":0.001753291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00903983,"about_ca_topic_score_gemma":0.006082933,"domain_scores_codex":[0.9989943,0.0004175978,0.00008894971,0.0002388522,0.0001808786,0.0000794564],"domain_scores_gemma":[0.9950939,0.003170891,0.0004913973,0.0002367102,0.0008368253,0.0001704061],"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":[0.00208197,0.0007783847,0.4929275,0.0001454779,0.0007745128,0.0002244159,0.0001153148,0.3231018,0.001047855,0.0007064735,0.00564559,0.1724508],"study_design_scores_gemma":[0.0000689997,0.00018908,0.01486007,0.00001930725,0.00005808485,0.00008356915,0.00001826933,0.9835892,0.0003345314,0.000384591,0.0003858485,0.000008528044],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8372678,0.0008552527,0.150679,0.001058619,0.0001847902,0.000758083,0.004257419,0.001929142,0.003009977],"genre_scores_gemma":[0.9498929,0.0001268155,0.04542,0.0001416565,0.0000394274,0.0003125439,0.00341925,0.00005028473,0.0005971265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00903983,"threshold_uncertainty_score":0.02724993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1336640829881757,"score_gpt":0.4752023374431294,"score_spread":0.3415382544549537,"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."}}