{"id":"W2887473711","doi":"10.1158/1557-3265.ovca17-ia27","title":"Abstract IA27: Functional genetic architecture of serous ovarian cancer","year":2018,"lang":"en","type":"article","venue":"Clinical Cancer Research","topic":"Cell Adhesion Molecules Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Ovarian cancer; Kinome; Cancer; Serous fluid; Serous ovarian cancer; Biology; Proteomics; RNA interference; Cancer research; Gene; Bioinformatics; Genetics; RNA","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":[0.0001308686,0.0002739068,0.0001587568,0.0008493642,0.0002655777,0.0004839581,0.0002589456,0.0002323222,0.003384774],"category_scores_gemma":[0.0002230694,0.0001251607,0.0002638781,0.0004672098,0.0003901488,0.0001308377,0.0003935694,0.000470826,0.000726346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005162861,"about_ca_system_score_gemma":0.0004822991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001253976,"about_ca_topic_score_gemma":0.001123914,"domain_scores_codex":[0.9998912,0.000015406,0.000009902376,0.00002062019,0.00004041666,0.00002253189],"domain_scores_gemma":[0.9998198,0.00001838321,0.0000655769,0.0000204167,0.00002282027,0.00005309323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003786726,0.00004190262,0.01481914,0.0001103268,0.00003465782,0.00123197,0.00006113687,0.0006195096,0.9632465,0.003219661,0.001200219,0.01503626],"study_design_scores_gemma":[0.0001360503,0.001002535,0.2810971,0.00008455161,0.0001995401,0.020619,0.0005152888,0.006407594,0.6247814,0.004744117,0.06036054,0.00005218854],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9815244,0.001777173,0.005806234,0.0006126949,0.00005649863,0.00006206161,0.002948664,0.0003504079,0.006861812],"genre_scores_gemma":[0.9934015,0.0005539802,0.001933295,0.00008911375,0.00001003052,0.00002290393,0.001531383,0.00004963481,0.002408072],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003384774,"threshold_uncertainty_score":0.01132315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2532353941073682,"score_gpt":0.531655943034265,"score_spread":0.2784205489268968,"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."}}