{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009947503,0.0002279735,0.0003448228,0.00121542,0.0007387681,0.001349362,0.0003789289,0.0008737968,0.1241008],"category_scores_gemma":[0.005957936,0.0001661451,0.0006308053,0.001732216,0.0002840293,0.001087717,0.001033443,0.00116944,0.01541332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008554701,"about_ca_system_score_gemma":0.001129355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01578593,"about_ca_topic_score_gemma":0.01979277,"domain_scores_codex":[0.9991792,0.0001904243,0.00007912625,0.00009992791,0.0002208392,0.0002305044],"domain_scores_gemma":[0.9966023,0.0007132682,0.0009699531,0.000184212,0.0003403366,0.001189878],"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":[0.0009317823,0.000448486,0.1583548,0.001177461,0.0001217999,0.0003892459,0.0007483847,0.000979443,0.0005175055,0.01528572,0.6459062,0.1751391],"study_design_scores_gemma":[0.00017009,0.0002243977,0.3135731,0.0005826515,0.00007445153,0.0009084319,0.001772644,0.0008435278,0.0004197385,0.004797603,0.6765728,0.00006059844],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1794235,0.01678833,0.005192527,0.06150981,0.007688217,0.0005365902,0.1655873,0.001169645,0.562104],"genre_scores_gemma":[0.6866335,0.01264486,0.005076307,0.01811001,0.008444961,0.0004671732,0.03574971,0.0008758488,0.2319976],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1241008,"threshold_uncertainty_score":0.4151585,"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."}}