{"id":"W4410590271","doi":"10.1287/opre.2021.0427","title":"Event-Triggered Bayesian Control Chart","year":2025,"lang":"en","type":"article","venue":"Operations Research","topic":"Advanced Statistical Process Monitoring","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Control chart; Computer science; Event (particle physics); Bayesian probability; Chart; Operations research; Econometrics; Data mining; Statistics; Artificial intelligence; Mathematics; Process (computing)","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":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004285765,0.0000910724,0.0001977693,0.0006178703,0.001066058,0.0007026003,0.0007945173,0.00006512412,0.0009081497],"category_scores_gemma":[0.0211527,0.00007069614,0.00004634648,0.002331579,0.0002193737,0.000413687,0.0001557675,0.0004306369,0.001103163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001183674,"about_ca_system_score_gemma":0.0004196754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006157102,"about_ca_topic_score_gemma":0.0001661484,"domain_scores_codex":[0.9961867,0.0005862855,0.0005104126,0.0005021056,0.001772305,0.0004421459],"domain_scores_gemma":[0.9944907,0.002961814,0.00001581488,0.0006394596,0.001745377,0.0001467859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001570174,0.0003313369,0.005782467,0.00002280149,0.00005945281,0.00004415767,0.0005391654,0.03678605,0.01238028,0.5301813,0.05599329,0.3577226],"study_design_scores_gemma":[0.00212347,0.0001758329,0.00839084,0.00009225081,0.00001204956,0.00000369852,0.002415256,0.5235468,0.006263912,0.362747,0.09384838,0.0003804749],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003852018,0.0002239641,0.9597728,0.007822795,0.0003399297,0.00047188,0.00003876358,0.00003782271,0.02744003],"genre_scores_gemma":[0.949126,0.000008909243,0.004778393,0.0001380535,0.0001098449,0.0001455536,0.000003451397,0.000007422475,0.04568239],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9549944,"threshold_uncertainty_score":0.9996746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2292337644714703,"score_gpt":0.5923399555795753,"score_spread":0.3631061911081049,"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."}}