{"id":"W1514907448","doi":"","title":"AUC: a statistically consistent and more discriminating measure than accuracy","year":2003,"lang":"en","type":"article","venue":"","topic":"Imbalanced Data Classification Techniques","field":"Computer Science","cited_by":502,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick; Western University","funders":"","keywords":"Measure (data warehouse); Receiver operating characteristic; Computer science; Consistency (knowledge bases); Machine learning; Artificial intelligence; Data mining","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":[],"consensus_categories":[],"category_scores_codex":[0.0003189974,0.000107186,0.0001119656,0.00004996001,0.0001061112,0.0002017476,0.0003453178,0.00003641021,0.00001890195],"category_scores_gemma":[0.001053193,0.00008749143,0.0000180336,0.0001491391,0.00008765717,0.0004345166,0.0001188914,0.00009175893,0.00001064217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002735372,"about_ca_system_score_gemma":0.00006611848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001511581,"about_ca_topic_score_gemma":0.000007633444,"domain_scores_codex":[0.9989615,0.00007981952,0.0001956845,0.0003348925,0.0002351482,0.0001929529],"domain_scores_gemma":[0.998962,0.000238851,0.00007407318,0.0005165861,0.0001163121,0.00009213567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[7.996591e-7,0.00002569004,0.0006596186,0.00001159423,0.00000494973,0.000005060334,0.0002528834,1.902156e-7,0.001684417,0.9612743,0.001842613,0.03423789],"study_design_scores_gemma":[0.003468968,0.000782962,0.2189988,0.0004853475,0.0001182492,0.0009130063,0.003636598,0.1369373,0.2073388,0.3396357,0.08374012,0.003944131],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0008328625,0.00003760022,0.9858076,0.001559389,0.00004452363,0.0001606508,0.000009169629,0.0003187675,0.01122942],"genre_scores_gemma":[0.5545719,0.000007813897,0.4448607,0.0003435717,0.000003680566,0.0000189136,0.000003426057,0.000004470317,0.0001855006],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6216386,"threshold_uncertainty_score":0.3567797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03047426631467451,"score_gpt":0.2873676294616058,"score_spread":0.2568933631469313,"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."}}