{"id":"W4248838280","doi":"10.1002/9781119516651.ch21","title":"Statistical Quality Control—Phase II Control Charts","year":2020,"lang":"en","type":"other","venue":"","topic":"Advanced Statistical Process Monitoring","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"CUSUM; EWMA chart; Control chart; Shewhart individuals control chart; Statistical process control; Computer science; Statistics; Set (abstract data type); Control (management); Chart; Process (computing); Mathematics; Artificial intelligence","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":[0.02030035,0.001960131,0.001313758,0.003595119,0.00121181,0.006564694,0.002479379,0.0009132235,0.01423083],"category_scores_gemma":[0.07582347,0.0007774342,0.0008653261,0.004566664,0.001618934,0.002557807,0.001693817,0.002715189,0.006113715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002504299,"about_ca_system_score_gemma":0.006927568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006400033,"about_ca_topic_score_gemma":0.002496871,"domain_scores_codex":[0.9723176,0.00810256,0.001852755,0.002810556,0.01433688,0.000579589],"domain_scores_gemma":[0.9360318,0.02241957,0.004724971,0.006053477,0.03022989,0.0005402839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005161249,0.0002299869,0.00277221,0.001200528,0.0001009901,0.0001303029,0.0007383481,0.04710048,0.007500065,0.1409677,0.08500388,0.7137393],"study_design_scores_gemma":[0.0003513428,0.0009603282,0.006922214,0.001177682,0.000125637,0.0003539461,0.0004623615,0.342523,0.05000908,0.09733831,0.4993729,0.000403156],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003337989,0.001287347,0.964266,0.0005711081,0.0005985792,0.001794812,0.001856859,0.007962417,0.01832484],"genre_scores_gemma":[0.1009756,0.00218658,0.868575,0.0007372684,0.0008368435,0.004912623,0.005121619,0.002951043,0.0137034],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02030035,"threshold_uncertainty_score":0.1073598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1509349574028398,"score_gpt":0.5039552412471141,"score_spread":0.3530202838442743,"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."}}