{"id":"W3215636343","doi":"10.1002/cjs.11669","title":"Sensitivity analysis in classification using Bayesian smoothing spline ANOVA probit regression","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institutes of Health; National Science Foundation","keywords":"Bayesian probability; Sensitivity (control systems); Computer science; Multinomial probit; Smoothing; Probit model; Artificial intelligence; Machine learning; Statistics; Data mining; Econometrics; Mathematics; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gpt","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"},{"model":"grok","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"},{"model":"opus","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00102705,0.0001389975,0.0004825641,0.0004319141,0.0001132443,0.00005537087,0.00007127536,0.00008988207,0.00008443854],"category_scores_gemma":[0.004011981,0.0001303544,0.00007734535,0.0007327957,0.0000720372,0.0001298656,0.00001155538,0.0003608045,5.272236e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000339746,"about_ca_system_score_gemma":0.001131426,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007693435,"about_ca_topic_score_gemma":0.04516752,"domain_scores_codex":[0.9982789,0.0003303169,0.0006945583,0.0001815563,0.0002191166,0.0002956237],"domain_scores_gemma":[0.9974103,0.0009131126,0.0004489613,0.0002047023,0.0006132475,0.0004096734],"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":[0.00008931452,0.0002690572,0.02840369,0.0005249063,0.000791339,0.01797587,0.002876866,0.02197785,0.01435642,0.8070183,0.001424999,0.1042914],"study_design_scores_gemma":[0.0006374322,0.00005866387,0.01188296,0.0004810812,0.0008785603,0.0003614658,0.0007960651,0.4246875,0.0007115401,0.5587708,0.0003452048,0.0003887825],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02197086,0.00007783905,0.9771414,0.0001940239,0.0001415209,0.00006490225,0.0002855629,0.000003422094,0.0001204033],"genre_scores_gemma":[0.3700299,0.00000963767,0.6298029,0.000040881,0.00004622283,3.31133e-7,0.00001243169,0.00001408473,0.00004356656],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4027096,"threshold_uncertainty_score":0.9722557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1424462208228655,"score_gpt":0.4003970922461558,"score_spread":0.2579508714232902,"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."}}