{"id":"W4394125839","doi":"10.6084/m9.figshare.2074264.v1","title":"Economic evaluation of nivolumab for the treatment of second-line advanced squamous NSCLC in Canada: a comparison of modelling approaches to estimate and extrapolate survival outcomes","year":2016,"lang":"en","type":"dataset","venue":"Figshare","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nivolumab; Oncology; Second line; Line (geometry); Environmental science; Overall survival; Medicine; Internal medicine; First line; Mathematics; Cancer; Immunotherapy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001499668,0.0001958208,0.0007682954,0.00009442671,0.00002013812,0.000003340315,0.0001059616,0.00008417763,0.002501124],"category_scores_gemma":[0.00006210062,0.0001258407,0.0001038628,0.00004442631,0.00001273214,0.00002616373,0.00001637754,0.00004715892,8.001982e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006351009,"about_ca_system_score_gemma":0.0011765,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.10126,"about_ca_topic_score_gemma":0.7475787,"domain_scores_codex":[0.99885,0.00002942027,0.0005588935,0.0002196385,0.0001966655,0.0001453167],"domain_scores_gemma":[0.9987009,0.0004180635,0.0004324506,0.0003333206,0.00007860254,0.00003669249],"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":[0.01163893,0.000759584,0.001391755,0.005836379,0.001766651,0.000002464985,0.0008591429,0.0607029,0.0002252663,0.000001587375,0.7218245,0.1949908],"study_design_scores_gemma":[0.05495282,0.006023676,0.03146072,0.01344802,0.00239314,0.000009194472,0.001029309,0.3587637,0.009689862,0.0000329942,0.5208956,0.001300973],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02885335,0.003936877,0.000005537758,0.00006248322,0.00007367818,0.001656086,0.9654049,0.000002003311,0.000005101981],"genre_scores_gemma":[0.1467077,0.00005941226,0.00005361519,0.000007648252,0.00002227774,0.0003845912,0.8527321,0.00001454661,0.00001807785],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6463187,"threshold_uncertainty_score":0.9984107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2267399441904804,"score_gpt":0.3687933685431805,"score_spread":0.1420534243527001,"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."}}