{"id":"W4413195541","doi":"10.1007/s11238-025-10083-7","title":"Oriented data-generating processes: a categorization of ROC curves","year":2025,"lang":"en","type":"article","venue":"Theory and Decision","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Categorization; Receiver operating characteristic; Mathematics; Computer science; Artificial intelligence; Statistics; Data mining; Econometrics; Pattern recognition (psychology)","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":[0.00089364,0.00005887166,0.0000980197,0.00005986124,0.00008438007,0.00004195658,0.0004201091,0.00002957706,0.000003108111],"category_scores_gemma":[0.0005616869,0.00004625026,0.000007220105,0.0004281303,0.00002664707,0.0003614454,0.0003040355,0.00004579177,0.000001631698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003235475,"about_ca_system_score_gemma":0.00009673281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003356878,"about_ca_topic_score_gemma":0.0000023695,"domain_scores_codex":[0.9993304,0.00006628046,0.0001797922,0.0002426773,0.0001090924,0.00007173538],"domain_scores_gemma":[0.9989887,0.0003579647,0.00005460955,0.000435798,0.0001398704,0.00002304308],"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":[0.00003605113,0.0000335831,0.00006941267,0.0001412522,0.000006413975,7.641987e-7,0.0002485641,0.0002091519,0.001167133,0.7006224,0.0003959255,0.2970693],"study_design_scores_gemma":[0.0002401519,0.00005315304,0.00008676956,0.0008140646,0.00001431692,0.000003413148,0.0000598381,0.2665633,0.004840626,0.7269335,0.0002805619,0.0001103568],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02292238,0.002179882,0.9742131,0.0000548457,0.00009639047,0.00005315955,0.000003178723,0.00003899143,0.0004380314],"genre_scores_gemma":[0.9615154,0.0004439591,0.03764628,0.0002815237,0.000012068,0.000002628617,0.00001444338,0.000002137178,0.00008156752],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.938593,"threshold_uncertainty_score":0.1886031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02629229103463799,"score_gpt":0.3129509193833157,"score_spread":0.2866586283486777,"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."}}