{"id":"W2944132763","doi":"","title":"Transplant / Doctoring / Cancer Season","year":2019,"lang":"en","type":"article","venue":"Ars Medica","topic":"Economic and Financial Impacts of Cancer","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Cancer; Medicine; Internal medicine","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":["insufficient_payload"],"category_scores_codex":[0.0002656498,0.000127881,0.0003436258,0.00008422388,0.000045642,0.0000291482,0.0002196663,0.000100755,0.003650828],"category_scores_gemma":[0.00003043083,0.0001413386,0.00009324277,0.00009554175,0.00004048471,0.0002435583,0.00002133165,0.000160817,0.002586088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001270007,"about_ca_system_score_gemma":0.00005286251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006044327,"about_ca_topic_score_gemma":0.00005238341,"domain_scores_codex":[0.998921,0.000004149596,0.0003610715,0.0003229646,0.00003748187,0.0003532975],"domain_scores_gemma":[0.9993852,0.00003067146,0.0001658056,0.0002531112,0.00001248757,0.0001527137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004573663,0.0000557264,0.7441362,0.00006202042,0.0001126069,0.00001066525,0.001508378,0.00008559812,0.00009491849,0.2254072,0.01305059,0.01543036],"study_design_scores_gemma":[0.00102705,0.00006804748,0.106787,0.00007355354,0.000008839203,0.000004238031,0.0000490837,0.0005977026,0.0002086785,0.01280995,0.8779701,0.0003958044],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8571744,0.007186627,0.0002529454,0.001766675,0.002598496,0.0001734243,0.000126388,0.00005208878,0.1306689],"genre_scores_gemma":[0.9911586,0.002311075,0.00008655329,0.001017052,0.000250412,0.00002453588,0.000007300956,0.00002412897,0.005120357],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8649195,"threshold_uncertainty_score":0.9981905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02125615754227931,"score_gpt":0.2319919862908067,"score_spread":0.2107358287485274,"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."}}