{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006069198,0.0001348677,0.001139111,0.0001192827,0.00006273077,0.00002720611,0.0001782244,0.0001845365,0.0001578801],"category_scores_gemma":[0.002294097,0.0001390701,0.00009221221,0.0002043357,0.0001840858,0.0001185932,0.00003894811,0.0001360598,0.0001802645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002748853,"about_ca_system_score_gemma":0.0004705705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001173949,"about_ca_topic_score_gemma":0.004141286,"domain_scores_codex":[0.9960917,0.0002702251,0.00301331,0.0002363186,0.00008177895,0.0003067332],"domain_scores_gemma":[0.9965144,0.0005025677,0.002534292,0.0001305407,0.0001333941,0.0001847848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009928334,0.000191306,0.9292205,0.00002258892,0.00007443895,0.00001401104,0.0001513838,0.00002474182,2.619743e-7,0.035303,0.03371532,0.001183144],"study_design_scores_gemma":[0.001868066,0.001313156,0.9062409,0.0000602012,0.00001025708,0.0001021527,0.0003163829,0.000177706,7.900787e-7,0.01891363,0.07085538,0.0001413281],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.887468,0.001351291,0.00005199135,0.0990898,0.001580442,0.0002164929,0.0001842222,0.000006932255,0.01005087],"genre_scores_gemma":[0.982704,0.0001447865,0.00186733,0.01471004,0.0005037891,0.00001112657,4.821343e-7,0.000006505511,0.00005191466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09523607,"threshold_uncertainty_score":0.7188154,"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."}}