{"id":"W4390713343","doi":"10.23977/acss.2023.071104","title":"A Multivariate Statistical Process Control Model Based on CRITIC Entropy Method and EWMA","year":2023,"lang":"en","type":"article","venue":"Advances in Computer Signals and Systems","topic":"Advanced Statistical Process Monitoring","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"EWMA chart; Statistical process control; Control chart; Covariance matrix; Computer science; Weighting; Entropy (arrow of time); Multivariate statistics; Process (computing); Machine learning; Algorithm","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002243394,0.0009377571,0.00120052,0.0006687597,0.0004946787,0.001434903,0.001370205,0.001061777,0.001567427],"category_scores_gemma":[0.003372728,0.0004801592,0.0009879594,0.0007564411,0.000948165,0.001283488,0.0008618942,0.001572311,0.0002631826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008792803,"about_ca_system_score_gemma":0.001202566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007654479,"about_ca_topic_score_gemma":0.003765809,"domain_scores_codex":[0.9988018,0.0003940178,0.00005797116,0.0003418872,0.0003046683,0.00009953727],"domain_scores_gemma":[0.9988373,0.0005975217,0.0001810161,0.00005312915,0.0002926702,0.00003841843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004004645,0.00002102107,0.0004467498,0.00003839978,0.00004298082,0.00004861113,0.00003410917,0.9692515,0.001902083,0.01339874,0.0002362578,0.01453953],"study_design_scores_gemma":[0.000002969832,0.0000119086,0.00007464751,0.000001587556,0.000005083975,0.000005620041,0.000001028884,0.9984657,0.0001926014,0.001098644,0.0001338181,0.000006352097],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007018308,0.000105325,0.9913839,0.00007846403,0.00003289421,0.00003499263,0.00003041886,0.0001419486,0.001173845],"genre_scores_gemma":[0.8649055,0.0004534642,0.1272428,0.00007745379,0.00009103269,0.0004381629,0.0001611698,0.00005642627,0.006573983],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007654479,"threshold_uncertainty_score":0.01521987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08346137293954263,"score_gpt":0.4581547195284833,"score_spread":0.3746933465889407,"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."}}