{"id":"W2802842452","doi":"10.1002/cjs.11351","title":"Combining ROC curves using MAMSE weighted distributions","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Receiver operating characteristic; Statistics; Monte Carlo method; Mathematics; Variable (mathematics)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.05773497,0.002159263,0.003416086,0.01172309,0.0006774634,0.004949625,0.002491025,0.002691107,0.002872339],"category_scores_gemma":[0.2009735,0.001267655,0.003505114,0.005327382,0.001801777,0.004979415,0.004055723,0.00330251,0.001005574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001591169,"about_ca_system_score_gemma":0.001133836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00216958,"about_ca_topic_score_gemma":0.001198852,"domain_scores_codex":[0.9652138,0.02464365,0.001828304,0.003537534,0.004245244,0.0005315081],"domain_scores_gemma":[0.847833,0.1276568,0.006176933,0.008724249,0.008813801,0.000795181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00105244,0.0002213539,0.03279309,0.0009216945,0.0026608,0.0006595543,0.0007497988,0.3829612,0.002916029,0.08942734,0.004463725,0.481173],"study_design_scores_gemma":[0.0000772876,0.000333426,0.005615733,0.0002216836,0.0002572372,0.0003967488,0.0001140343,0.8482962,0.001519072,0.1383222,0.004712666,0.0001335382],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01596307,0.001250808,0.9805697,0.0003196051,0.00007990371,0.0002351903,0.0002264449,0.0004508723,0.000904433],"genre_scores_gemma":[0.4222742,0.001444288,0.5711716,0.0003937834,0.0004011204,0.001148825,0.001121826,0.0003114352,0.001732852],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05773497,"threshold_uncertainty_score":0.3053354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08642992134130285,"score_gpt":0.357319782066272,"score_spread":0.2708898607249692,"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."}}