{"id":"W2894409510","doi":"10.1200/jgo.18.46300","title":"Global Consensus on Prognosis and Outcomes in Cancer","year":2018,"lang":"en","type":"article","venue":"Journal of Global Oncology","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Princess Margaret Cancer Centre","funders":"","keywords":"Medicine; Context (archaeology); Cancer; Disease; Consistency (knowledge bases); Intervention (counseling); Stage (stratigraphy); Intensive care medicine; Internal medicine; Nursing; Computer science","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":[0.1202751,0.001792514,0.003487643,0.007005955,0.002232717,0.007587611,0.008011001,0.01211512,0.004244716],"category_scores_gemma":[0.1526579,0.0008126776,0.00379547,0.006645062,0.009310813,0.008107243,0.01159518,0.02262199,0.002150879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01348548,"about_ca_system_score_gemma":0.05082325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01235366,"about_ca_topic_score_gemma":0.008060707,"domain_scores_codex":[0.9493272,0.0248369,0.007362643,0.002674537,0.0137365,0.002062204],"domain_scores_gemma":[0.8232515,0.07764986,0.008118917,0.007286349,0.07191686,0.01177648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001557621,0.0000787023,0.002339835,0.006489189,0.000261869,0.0001761021,0.002460339,0.002608121,0.0001815931,0.0817159,0.5798288,0.3237038],"study_design_scores_gemma":[0.00006946936,0.00008392168,0.003188867,0.02635954,0.0002558345,0.0003072356,0.001725507,0.001054198,0.0002706853,0.1142241,0.8523458,0.0001149144],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.001126824,0.1183326,0.0144007,0.8173494,0.03412392,0.0001868748,0.000805772,0.0002617898,0.01341205],"genre_scores_gemma":[0.1138659,0.3292641,0.06645989,0.4279619,0.03900083,0.002170864,0.006522471,0.000646834,0.01410722],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.1202751,"threshold_uncertainty_score":0.636083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3307961572266392,"score_gpt":0.5140203525090544,"score_spread":0.1832241952824152,"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."}}