{"id":"W4403055815","doi":"10.18280/mmep.110922","title":"Auto-Correlated Multivariate Quality Control for Electronic Products Manufacturing with Decomposition Analysis","year":2024,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Advanced Statistical Process Monitoring","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multivariate statistics; Decomposition; Quality (philosophy); Multivariate analysis; Control (management); Computer science; Process engineering; Statistics; Mathematics; Chemistry; Engineering; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001624544,0.0002293736,0.0004802895,0.0002820132,0.0001222217,0.0003860713,0.0001603794,0.00007949137,0.000009981199],"category_scores_gemma":[0.000487131,0.0001583713,0.0000861715,0.0005356858,0.00003395233,0.0002759793,0.00002496346,0.0002813989,0.00001258171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006855052,"about_ca_system_score_gemma":0.00002576941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007655574,"about_ca_topic_score_gemma":6.589097e-7,"domain_scores_codex":[0.9977343,0.00003407427,0.0006393413,0.0006438337,0.0004896695,0.000458773],"domain_scores_gemma":[0.9967907,0.00262945,0.00007693911,0.0002559849,0.0001270509,0.0001198488],"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":[0.00003046701,0.0000226237,0.000006906257,0.0004510594,0.0002293341,0.000002012522,0.0002487115,0.9644221,0.0005714084,0.0318228,0.000001799983,0.002190776],"study_design_scores_gemma":[0.0002330131,0.00005388357,0.00002768308,0.0001631659,0.0002237236,0.000005204075,0.00001362298,0.8465465,0.0005261687,0.1518924,0.0001173972,0.0001972144],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03079972,0.0003585967,0.9678709,0.0001495436,0.00008564506,0.0003892902,0.00001533934,0.0002968153,0.0000341872],"genre_scores_gemma":[0.8868673,0.000006476467,0.1128068,0.000004424891,0.00004801798,0.00009753188,0.000005955713,0.00003127033,0.00013224],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8560676,"threshold_uncertainty_score":0.6458193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05657076290093019,"score_gpt":0.3559521413144497,"score_spread":0.2993813784135195,"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."}}