{"id":"W2408568328","doi":"10.1158/1557-3265.ovca15-pr16","title":"Abstract PR16: Computational modeling of serous ovarian carcinoma dynamics: Implications for screening and therapy.","year":2016,"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 Health Network; Princess Margaret Cancer Centre; University of Toronto","funders":"","keywords":"Debulking; Medicine; Chemotherapy; Ovarian cancer; Serous fluid; Ovarian carcinoma; Oncology; Internal medicine; Serous carcinoma; Stage (stratigraphy); Cancer; Adjuvant; Surgery; Biology","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":[0.0004355415,0.0005319247,0.0006523998,0.0003500992,0.0003772074,0.0008048547,0.001024324,0.001348418,0.002188175],"category_scores_gemma":[0.002258123,0.000418488,0.0009871714,0.0003287541,0.0004621329,0.0005487396,0.0005328691,0.0007554812,0.000207506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007649197,"about_ca_system_score_gemma":0.001128777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02554718,"about_ca_topic_score_gemma":0.01158697,"domain_scores_codex":[0.9999056,0.00003489112,0.000005766143,0.00002074388,0.00001634946,0.00001672968],"domain_scores_gemma":[0.999153,0.0005799102,0.00009566863,0.00003254955,0.00007823974,0.00006067732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001196306,0.00001035232,0.001103481,0.00001133569,0.00000703555,0.0000236068,0.000006449735,0.9971106,0.0001337985,0.0006317577,0.000154328,0.0007951917],"study_design_scores_gemma":[0.000002639786,0.000004363796,0.00008795239,0.000001482426,0.000001388274,0.000003277446,0.000002980148,0.9995068,0.00002523281,0.0002920851,0.00007032025,0.000001416642],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7630775,0.001938336,0.2136856,0.004152919,0.0003524821,0.0001962169,0.002705211,0.0006590527,0.0132326],"genre_scores_gemma":[0.9735763,0.0004899991,0.02191276,0.0002339453,0.00004970388,0.0001755449,0.0007555482,0.00006608701,0.002740057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02554718,"threshold_uncertainty_score":0.05079693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3802367171197038,"score_gpt":0.5335727253135414,"score_spread":0.1533360081938376,"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."}}