{"id":"W2997252595","doi":"10.1002/9780471420194.tnmm05","title":"Assessment of Treatment Outcome","year":2017,"lang":"en","type":"other","venue":"TNM Online","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Proportional hazards model; Outcome (game theory); Medicine; Oncology; Hazard ratio; Cancer; Clinical trial; Regression; Internal medicine; Survival analysis; Event (particle physics); Statistics; Confidence interval; Mathematics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00001516093,0.0001848835,0.0005198505,0.0001168645,0.00002318969,0.000004588759,0.00006187816,0.0001144577,0.006730514],"category_scores_gemma":[0.00001062511,0.0001232504,0.000139466,0.00002333101,0.00004399473,0.000008558269,0.00001567623,0.0000608621,0.00003129058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002957878,"about_ca_system_score_gemma":0.0004133672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00112636,"about_ca_topic_score_gemma":0.0006569906,"domain_scores_codex":[0.9994078,0.000007343832,0.000163416,0.0001828493,0.0001260191,0.0001125389],"domain_scores_gemma":[0.9990324,0.00001221019,0.0002644358,0.0005884001,0.00002906146,0.00007347046],"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":[0.00002113685,0.002698356,0.05440228,0.0004797337,0.003185064,0.000146153,0.00006632816,0.000001050342,0.00005606699,0.0003337541,0.8843566,0.05425353],"study_design_scores_gemma":[0.001889328,0.0005677217,0.0300202,0.0003914552,0.00104311,0.000007085121,0.000008825476,0.00001403563,0.000006273878,0.000005098784,0.9659557,0.00009111465],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002406591,0.0007021212,0.00003396206,0.0003393455,0.0002831736,0.0006048805,0.00612453,0.00008349682,0.9915878],"genre_scores_gemma":[0.003322368,0.000466332,0.006719498,0.00006950372,0.0004022869,0.00004459178,0.003967524,0.000172951,0.984835],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0815992,"threshold_uncertainty_score":0.9941775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05118033448380055,"score_gpt":0.4734044870918543,"score_spread":0.4222241526080538,"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."}}