{"id":"W2921861071","doi":"10.1002/cjce.23491","title":"Fault diagnosis in industrial chemical processes using optimal probabilistic neural network","year":2019,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Cuckoo search; Probabilistic neural network; Computer science; Artificial neural network; Fault (geology); Probabilistic logic; Smoothing; Artificial intelligence; Process (computing); Data mining; Convergence (economics); Pattern recognition (psychology); Machine learning; Algorithm; Time delay neural network; Particle swarm optimization","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":[0.0008558203,0.000946172,0.00078723,0.0009305439,0.0004290862,0.0006036276,0.0008141499,0.0009307722,0.0005294631],"category_scores_gemma":[0.002072897,0.0004921533,0.0007030449,0.0006609688,0.0004764294,0.0009420688,0.0004244586,0.0006044852,0.00009643417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001281305,"about_ca_system_score_gemma":0.001021928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01745617,"about_ca_topic_score_gemma":0.01123604,"domain_scores_codex":[0.9995601,0.0001141744,0.00002450176,0.0001143834,0.0001413442,0.00004555565],"domain_scores_gemma":[0.9995167,0.0002709242,0.0000810193,0.00001780513,0.0001007504,0.00001274041],"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":[0.00004878528,0.00001687251,0.0007090474,0.00002163839,0.00001924279,0.00002365986,0.00001163212,0.9784571,0.0006779671,0.0005005212,0.0001113802,0.01940215],"study_design_scores_gemma":[0.000001599353,0.000004890175,0.0000826761,9.928164e-7,0.000001719921,0.000002661971,7.997339e-7,0.9995037,0.0001235847,0.0002585197,0.00001775053,0.000001083017],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1212472,0.0009655166,0.874356,0.0003207721,0.00004869146,0.00005393802,0.00005546835,0.0008746657,0.002077806],"genre_scores_gemma":[0.9493399,0.0001666183,0.04975334,0.00004347078,0.00001768463,0.00003755705,0.00005614962,0.00002122198,0.0005640251],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01745617,"threshold_uncertainty_score":0.03470916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0140766975839894,"score_gpt":0.1934344932414517,"score_spread":0.1793577956574623,"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."}}