{"id":"W2743279021","doi":"10.1080/08982112.2017.1358367","title":"Optimum variable-dimension EWMA chart for multivariate statistical process control","year":2017,"lang":"en","type":"article","venue":"Quality Engineering","topic":"Advanced Statistical Process Monitoring","field":"Decision Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Wilfrid Laurier University","keywords":"EWMA chart; Control chart; Chart; Shewhart individuals control chart; X-bar chart; Markov chain; Statistical process control; Statistics; Control limits; Computer science; Software; Process (computing); Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.003333489,0.000261855,0.0005741663,0.00007437385,0.0005964799,0.0005230933,0.0009258856,0.0001196611,0.00006938723],"category_scores_gemma":[0.04918673,0.0002248384,0.00007067251,0.000118814,0.00009489895,0.000723999,0.0001246505,0.0002500376,0.00005997223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006868728,"about_ca_system_score_gemma":0.00006557359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003071405,"about_ca_topic_score_gemma":0.000001493015,"domain_scores_codex":[0.9967299,0.00007191012,0.0008939964,0.0007139874,0.00100494,0.0005853301],"domain_scores_gemma":[0.992457,0.005344617,0.0003811596,0.0009447504,0.0005918802,0.0002806454],"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":[0.001117805,0.0003104839,0.005040282,0.0007919728,0.0001873644,0.0000474744,0.0009345564,0.365857,0.03569606,0.5142825,0.0007968845,0.07493761],"study_design_scores_gemma":[0.002766852,0.0001333108,0.01765784,0.000108837,0.00003876953,0.000004559825,0.0001644946,0.8832147,0.001979011,0.08888402,0.004356191,0.0006914341],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00624634,0.00002848074,0.9911805,0.000275957,0.001058583,0.0004430398,0.0003268494,0.0001395903,0.000300686],"genre_scores_gemma":[0.7842729,6.613965e-7,0.2150948,0.00003933917,0.0002713293,0.00009457266,0.00000756387,0.00003281171,0.0001860309],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7780266,"threshold_uncertainty_score":0.9588224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1478366858864823,"score_gpt":0.4881430391262934,"score_spread":0.3403063532398111,"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."}}