{"id":"W4408370442","doi":"10.1002/cjce.25671","title":"A modified double‐latent variable probabilistic model for monitoring of dynamic processes with multiple sampling rates","year":2025,"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":"","funders":"National Natural Science Foundation of China","keywords":"Latent variable; Latent variable model; Probabilistic logic; Sampling (signal processing); Variable (mathematics); Computer science; Statistics; Mathematics; Artificial intelligence","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":[0.002534179,0.0009237375,0.00144788,0.0008761399,0.0004021067,0.001472916,0.002871679,0.001526523,0.00159284],"category_scores_gemma":[0.005350143,0.0007896582,0.001077141,0.001060106,0.0009644869,0.002047472,0.001312021,0.001776425,0.0003232987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001101914,"about_ca_system_score_gemma":0.001298873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007933966,"about_ca_topic_score_gemma":0.005197306,"domain_scores_codex":[0.9985996,0.0003946694,0.00007725273,0.0004559244,0.0003242134,0.0001482419],"domain_scores_gemma":[0.997431,0.001547043,0.0003930829,0.0001674909,0.000388457,0.00007287928],"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":[0.0001025777,0.00005328775,0.001444218,0.00007523081,0.00003973,0.00008672302,0.00006106383,0.9645929,0.002134928,0.01141313,0.0003001231,0.01969608],"study_design_scores_gemma":[0.000002729228,0.000007000816,0.00008798036,0.000001405741,0.000002780401,0.000005164821,0.000001321285,0.9989774,0.0001283636,0.000723579,0.00005880777,0.000003493816],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0143844,0.0001083784,0.9846049,0.0001376619,0.00001970727,0.00002928662,0.0001023538,0.0001884198,0.0004248739],"genre_scores_gemma":[0.8788466,0.0003231227,0.1158401,0.0001130616,0.00005779881,0.0003313179,0.0005035985,0.00007830859,0.003906042],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007933966,"threshold_uncertainty_score":0.01577556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01456266479579521,"score_gpt":0.2184388971785412,"score_spread":0.203876232382746,"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."}}