{"id":"W4311794779","doi":"10.31387/oscm0510360","title":"PCA-WA Based Approach for Concurrent Control Chart Pattern Recognition","year":2022,"lang":"en","type":"article","venue":"Operations and Supply Chain Management An International Journal","topic":"Advanced Statistical Process Monitoring","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Computer science; Control chart; Pattern recognition (psychology); Artificial intelligence; Programming language; Process (computing)","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":[0.0005676124,0.0009682176,0.0005325543,0.001532856,0.000304624,0.0008259353,0.0006289611,0.0005392539,0.001575938],"category_scores_gemma":[0.001804504,0.0002581811,0.0007114321,0.001532797,0.0003411459,0.0009093047,0.0005246273,0.00096549,0.0006911495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003235963,"about_ca_system_score_gemma":0.0007052826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004227129,"about_ca_topic_score_gemma":0.003781245,"domain_scores_codex":[0.9993277,0.00009187519,0.00004848598,0.0001902598,0.0002805071,0.00006123511],"domain_scores_gemma":[0.9992862,0.0001800678,0.00008981836,0.0000968085,0.0003199466,0.00002710714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002107827,0.0001607538,0.003128719,0.0001594897,0.0001011787,0.0001704583,0.00009255828,0.06570017,0.03049156,0.002530823,0.002436746,0.8948168],"study_design_scores_gemma":[0.000007400062,0.0001058547,0.003517192,0.00001183739,0.00003152743,0.000167688,0.0000386651,0.9765099,0.0152956,0.001747352,0.002540992,0.00002595399],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01882337,0.0002166895,0.9782624,0.00007202228,0.00006176015,0.00007228155,0.0001071946,0.001261054,0.001123256],"genre_scores_gemma":[0.5369549,0.000497894,0.4572253,0.00007800905,0.00007746128,0.000177245,0.0006569049,0.0001239577,0.004208283],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004227129,"threshold_uncertainty_score":0.00840503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08603031812277287,"score_gpt":0.3812901275010032,"score_spread":0.2952598093782303,"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."}}