{"id":"W2114440185","doi":"10.1002/aic.690481216","title":"Multivariate SPC for startups and grade transitions","year":2002,"lang":"en","type":"article","venue":"AIChE Journal","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Multivariate statistics; Production (economics); Process (computing); Statistical process control; Process engineering; Quality (philosophy); Computer science; Multivariate analysis; Transition (genetics); Operations management; Statistics; Mathematics; Engineering; Chemistry; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000938862,0.0000646167,0.00008841835,0.00004766127,0.00011127,0.00005030765,0.00003144142,0.00003975204,0.00007645108],"category_scores_gemma":[0.00000964408,0.00005793036,0.00005084524,0.00004191022,0.000007907297,0.00009325553,0.000001355072,0.0001359526,0.00001176855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001887529,"about_ca_system_score_gemma":0.000001720461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002850014,"about_ca_topic_score_gemma":0.000008952332,"domain_scores_codex":[0.999611,0.00001504872,0.000137006,0.00004728008,0.00005842761,0.0001312669],"domain_scores_gemma":[0.9998111,0.00002565313,0.00001620542,0.00004453044,0.00001785746,0.00008463784],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001265763,0.0003278803,0.0004876044,0.0004235383,0.001481356,0.0001081799,0.01690754,0.05410903,0.5551713,0.00217576,0.1286775,0.2400037],"study_design_scores_gemma":[0.002434861,0.0001023313,0.000733063,0.00003386354,0.00004791096,0.0005134572,0.0003601308,0.8419304,0.001067673,0.0004591562,0.152117,0.0002002247],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5504089,0.00774106,0.4224954,0.006242956,0.004178732,0.0008864882,0.00009010924,0.0007324779,0.007223916],"genre_scores_gemma":[0.9986101,0.00009067665,0.000614573,0.00006365961,0.0002649616,0.00001013654,5.858503e-7,0.00001409578,0.0003311919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7878214,"threshold_uncertainty_score":0.2362332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01974037845892623,"score_gpt":0.2210536257020196,"score_spread":0.2013132472430934,"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."}}