{"id":"W2947454850","doi":"10.1200/jco.2019.37.15_suppl.e14585","title":"Feasibility of a platform trial based on molecular analysis in rare gynecologic cancers.","year":2019,"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":"Health Sciences Centre; Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; KRAS; PTEN; Serous fluid; CDKN2A; Clear cell; Carcinosarcoma; ARID1A; Oncology; Endometrial cancer; Internal medicine; Germ cell tumors; Cancer research; Cancer; PI3K/AKT/mTOR pathway; Carcinoma; Chemotherapy; Colorectal cancer; 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":[0.01878146,0.0006998549,0.001328759,0.000517163,0.0004308735,0.001380046,0.000729963,0.002296958,0.009073159],"category_scores_gemma":[0.02025659,0.0003208084,0.001840911,0.0005219529,0.0007273206,0.002168751,0.001405518,0.001962249,0.001078512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007679442,"about_ca_system_score_gemma":0.003127593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000274831,"about_ca_topic_score_gemma":0.0006287166,"domain_scores_codex":[0.9916773,0.006656555,0.000402672,0.0005179734,0.0003854633,0.0003600736],"domain_scores_gemma":[0.9871329,0.007370104,0.002236596,0.0008842986,0.0007720894,0.001604149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.6491386,0.005876442,0.01983445,0.004215033,0.002487547,0.0006450191,0.0002048323,0.005599917,0.006874599,0.007815334,0.01579314,0.281515],"study_design_scores_gemma":[0.5413132,0.3386381,0.02943409,0.001878861,0.00269465,0.0009663059,0.000187596,0.01021241,0.004897731,0.01418438,0.05547664,0.0001160235],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.805069,0.02489356,0.02931225,0.02073402,0.006387061,0.07219283,0.009361487,0.0007578311,0.03129199],"genre_scores_gemma":[0.9108559,0.002779861,0.03613873,0.008413169,0.00192273,0.03293458,0.00321448,0.00008875811,0.003651593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01878146,"threshold_uncertainty_score":0.09932703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1554705920417098,"score_gpt":0.4855170319560759,"score_spread":0.3300464399143661,"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."}}