{"id":"W4396807799","doi":"10.1002/cjce.25308","title":"Dimensionality reducing Gaussian mixture‐based reconstruction for fault detection in multimode processes","year":2024,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Curse of dimensionality; Multi-mode optical fiber; Gaussian; Pattern recognition (psychology); Dimensionality reduction; Fault detection and isolation; Computer science; Artificial intelligence; Physics; Quantum mechanics; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001071651,0.0006985878,0.0007788549,0.0007528146,0.0002534575,0.0004679664,0.0006780373,0.0006160361,0.0006668745],"category_scores_gemma":[0.002153111,0.0003927902,0.0009131426,0.0005402013,0.0004879669,0.0008559337,0.0006424081,0.0008721477,0.0002621668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004518575,"about_ca_system_score_gemma":0.000724126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004950684,"about_ca_topic_score_gemma":0.003612931,"domain_scores_codex":[0.9995676,0.0001375265,0.0000221852,0.00008442203,0.0001448058,0.00004351123],"domain_scores_gemma":[0.9993399,0.0003248779,0.00008518533,0.00006875879,0.0001577007,0.00002356406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000263406,0.00009555631,0.002821631,0.0001024094,0.0001100502,0.00008395925,0.0001371959,0.7215054,0.02602173,0.006767187,0.0009432315,0.2411482],"study_design_scores_gemma":[0.000001333776,0.000008696351,0.0002288736,0.000001685381,0.000003265688,0.000008951813,0.000003166043,0.9975673,0.001720018,0.0003528492,0.00009948527,0.000004349633],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02664761,0.0001519273,0.9724481,0.00007992337,0.00001378551,0.00001444023,0.00002534175,0.0003142092,0.0003046312],"genre_scores_gemma":[0.6129577,0.0003454652,0.3841247,0.00008202889,0.00002968488,0.00005212662,0.0002547519,0.00009665089,0.002056812],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004950684,"threshold_uncertainty_score":0.009843707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007761612057940469,"score_gpt":0.2053515204440302,"score_spread":0.1975899083860897,"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."}}