{"id":"W4290959637","doi":"10.1002/cjce.24494","title":"Survey on recursive statistical process monitoring methods","year":2022,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Process (computing); Computation; Recursive partitioning; Algorithm; Machine learning","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":[0.002459704,0.001122054,0.001350972,0.00267286,0.0003205803,0.001512107,0.001971465,0.0009332316,0.002854736],"category_scores_gemma":[0.009054631,0.0006266598,0.001501778,0.003852037,0.0005802363,0.002012518,0.0009571453,0.00120803,0.001375654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006431095,"about_ca_system_score_gemma":0.00134323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002710043,"about_ca_topic_score_gemma":0.0009291464,"domain_scores_codex":[0.9975315,0.0006561512,0.0002602401,0.0005403162,0.0009131484,0.00009859473],"domain_scores_gemma":[0.9951316,0.003016951,0.0002946242,0.000466243,0.001037425,0.00005308886],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009613058,0.00005713604,0.001924387,0.002308232,0.0001484081,0.00008533192,0.0001338566,0.03729055,0.002609008,0.03883161,0.008021245,0.9084942],"study_design_scores_gemma":[0.00005357704,0.0003520138,0.006187449,0.001893244,0.0003854956,0.001201542,0.0001734149,0.6312559,0.01258161,0.07086521,0.2748598,0.0001908184],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.004637701,0.1265761,0.8585233,0.0006488126,0.0004243716,0.00008549273,0.0002858182,0.001141289,0.007677053],"genre_scores_gemma":[0.1871625,0.2365942,0.561917,0.000843345,0.002715771,0.0003399356,0.001646013,0.000652373,0.008128779],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.002854736,"threshold_uncertainty_score":0.0130083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0159255601565669,"score_gpt":0.2665680556962218,"score_spread":0.2506424955396549,"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."}}