{"id":"W2792541838","doi":"10.1002/cjce.23163","title":"Multimode processes monitoring based on hierarchical mode division and subspace decomposition","year":2018,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subspace topology; Linear subspace; Computer science; Multi-mode optical fiber; Division (mathematics); Process (computing); Mode (computer interface); Redundancy (engineering); Decomposition; Adaptability; Algorithm; Data mining; Artificial intelligence; Mathematics; Telecommunications","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":[0.0004030614,0.0006979998,0.000522994,0.0007854679,0.0003645122,0.0004957729,0.0005535859,0.0003767072,0.0009518761],"category_scores_gemma":[0.0009572369,0.0002337756,0.0005547492,0.0007019415,0.0003473902,0.001024362,0.0006972575,0.0005044109,0.0002002035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003549547,"about_ca_system_score_gemma":0.0004509019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002239204,"about_ca_topic_score_gemma":0.00188608,"domain_scores_codex":[0.9995135,0.0001079078,0.00002720276,0.0001273746,0.0001766142,0.00004746988],"domain_scores_gemma":[0.9995838,0.0001307198,0.00006653457,0.00006266866,0.0001314926,0.00002493757],"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":[0.0003585998,0.0001508285,0.004487776,0.0001624096,0.0001053333,0.0001319461,0.0003250289,0.2519321,0.1523718,0.01049052,0.001074819,0.578409],"study_design_scores_gemma":[0.000007339572,0.0000552163,0.0008996728,0.000006349853,0.00001287237,0.00004332923,0.00002528418,0.9829292,0.01274176,0.00247812,0.0007819077,0.00001890282],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02068848,0.00009642059,0.9781963,0.00002743716,0.00001033951,0.00002204494,0.00002094192,0.0001996725,0.0007383203],"genre_scores_gemma":[0.5525185,0.0001753497,0.4455665,0.00004990607,0.000027617,0.0001000415,0.0001165979,0.00005001079,0.001395578],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002239204,"threshold_uncertainty_score":0.004452407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005936199899769543,"score_gpt":0.2176224620599345,"score_spread":0.211686262160165,"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."}}