{"id":"W316638995","doi":"10.1287/opre.1070.0495","title":"Multivariate Bayesian Control Chart","year":2008,"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; EWMA chart; Control limits; Univariate; CUSUM; Bayesian probability; Multivariate statistics; Statistical process control; Statistics; Mathematics; Computer science; Econometrics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005214298,0.001461753,0.001760654,0.001522235,0.001087229,0.00283014,0.00195302,0.001628323,0.006423375],"category_scores_gemma":[0.01388861,0.0005160253,0.0008499816,0.001499377,0.001720129,0.002369354,0.001710982,0.002137682,0.001143384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002138353,"about_ca_system_score_gemma":0.003265549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009299138,"about_ca_topic_score_gemma":0.004056301,"domain_scores_codex":[0.9957949,0.001050005,0.0001890267,0.0008921017,0.001707211,0.0003667779],"domain_scores_gemma":[0.9939666,0.002302494,0.001039635,0.0005010611,0.001895647,0.0002945634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003247087,0.0000928885,0.00103167,0.0001212928,0.00006199196,0.0001665142,0.0001190066,0.6929357,0.004293388,0.172456,0.004720067,0.1236769],"study_design_scores_gemma":[0.00002459985,0.00005705695,0.0002198214,0.00001432234,0.0000158906,0.00003336088,0.000005984119,0.9761683,0.001372891,0.01946744,0.002595543,0.00002470073],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004694197,0.0003192258,0.9905797,0.0002229318,0.00006235733,0.00008177758,0.0001275286,0.0005895355,0.003322739],"genre_scores_gemma":[0.6659536,0.00113548,0.3195027,0.0002730263,0.0003629859,0.0006309503,0.0005999495,0.0003134175,0.01122782],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009299138,"threshold_uncertainty_score":0.02757621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4584189842524514,"score_gpt":0.5737235205278415,"score_spread":0.1153045362753901,"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."}}