{"id":"W4319998557","doi":"10.18280/ria.360619","title":"Faulty Detection System Based on SPC and Machine Learning Techniques","year":2022,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Anomaly detection; Computer science; Process (computing); Outlier; Quality (philosophy); Data mining; Random forest; Control chart; Isolation (microbiology); Product (mathematics); Object (grammar); Statistical process control; Kernel (algebra); Artificial intelligence; Industrial engineering; Machine learning; Engineering; Mathematics","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":[0.001038469,0.0009024209,0.001160847,0.003416417,0.0007339612,0.001117398,0.001256893,0.001154899,0.001430406],"category_scores_gemma":[0.003478145,0.0002394986,0.00064005,0.001518577,0.0006117083,0.001367226,0.0007978981,0.000791991,0.0006990813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008789067,"about_ca_system_score_gemma":0.001092206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004314946,"about_ca_topic_score_gemma":0.002382257,"domain_scores_codex":[0.9980252,0.0002157908,0.0001364378,0.0004809861,0.0009854607,0.0001561488],"domain_scores_gemma":[0.9977465,0.0004904529,0.0003329804,0.0002939795,0.001049942,0.00008615297],"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":[0.0005908359,0.0003391947,0.01338913,0.0003136422,0.0001899901,0.0007303869,0.0002602547,0.09786105,0.04168118,0.007229181,0.006278446,0.8311366],"study_design_scores_gemma":[0.00002283876,0.0001652438,0.003492878,0.00002296413,0.00004514457,0.0004356673,0.0000365724,0.9749518,0.01591367,0.002641298,0.0022367,0.00003528078],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03563146,0.0003218948,0.954261,0.000192583,0.0001195232,0.0001435543,0.0001468916,0.006822973,0.002360145],"genre_scores_gemma":[0.7063357,0.0002693627,0.2900749,0.0001859527,0.0001318958,0.0002504948,0.000388757,0.000142538,0.00222053],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004314946,"threshold_uncertainty_score":0.008579671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01612270392456095,"score_gpt":0.2183462236535552,"score_spread":0.2022235197289942,"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."}}