{"id":"W2947117188","doi":"10.1200/jco.2019.37.15_suppl.e18251","title":"Population kinetics of progression free survival (PFS).","year":2019,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Kingston Health Sciences Centre; Ottawa Hospital","funders":"","keywords":"Proportional hazards model; Population; Medicine; Oncology; Internal medicine; Survival analysis; Phase (matter); Hazard ratio; Confidence interval; Physics","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":[0.001871626,0.0003644855,0.0004612373,0.0006780008,0.0001234378,0.0005085464,0.0003778255,0.0004458595,0.005923034],"category_scores_gemma":[0.004118606,0.0001831227,0.000454361,0.0005599025,0.0001930563,0.0007797632,0.0002917984,0.001031404,0.001264823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001002,"about_ca_system_score_gemma":0.0003428841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008546021,"about_ca_topic_score_gemma":0.0005459301,"domain_scores_codex":[0.9994032,0.0001410543,0.00003008288,0.0002044382,0.0001427568,0.00007846035],"domain_scores_gemma":[0.9982454,0.0008967177,0.0003983966,0.0001712732,0.000213027,0.00007522656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01492898,0.0008343076,0.2207635,0.00182316,0.001084301,0.0008290483,0.001289637,0.08799258,0.3461358,0.01440857,0.01661113,0.293299],"study_design_scores_gemma":[0.0004322204,0.008133655,0.3977598,0.0001796303,0.000608595,0.003787584,0.0003060625,0.2201149,0.2851308,0.01414148,0.06920259,0.0002025181],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8954523,0.007137274,0.05642892,0.0006237853,0.00005608868,0.0004467696,0.02265804,0.001550023,0.01564674],"genre_scores_gemma":[0.984689,0.0007260837,0.004528154,0.00009150586,0.00001060595,0.0002662339,0.006004141,0.0001330862,0.003551187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005923034,"threshold_uncertainty_score":0.01981449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04484391223899619,"score_gpt":0.4095451009139515,"score_spread":0.3647011886749553,"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."}}