{"id":"W2972559500","doi":"10.1002/cjce.23641","title":"Multiphase batch process monitoring based on higher‐order cumulant analysis","year":2019,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Computer science; Entropy (arrow of time); Cumulant; Kernel (algebra); Nonlinear system; Process (computing); Algorithm; Data mining; Mathematics; Statistics","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":[0.000414022,0.0006796673,0.0005649802,0.001458262,0.0003827483,0.000736157,0.0005261216,0.0003100327,0.0006388586],"category_scores_gemma":[0.00113446,0.0002303279,0.0006109136,0.0009241227,0.0003321207,0.001098483,0.0003960871,0.0004755886,0.0001939099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006547672,"about_ca_system_score_gemma":0.000717298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004293631,"about_ca_topic_score_gemma":0.00325845,"domain_scores_codex":[0.9995646,0.00006833699,0.00002333339,0.00009985393,0.0002131721,0.00003068312],"domain_scores_gemma":[0.9995247,0.0001842746,0.00008150494,0.00004344783,0.0001449791,0.00002104525],"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":[0.0004775978,0.0002911779,0.00824158,0.0002421305,0.0001793276,0.0002264683,0.0002471322,0.3703317,0.1319572,0.01178995,0.002062237,0.4739535],"study_design_scores_gemma":[0.000003336492,0.00001833398,0.001131865,0.000002113024,0.000009107141,0.00001437216,0.000005102177,0.9915552,0.00627771,0.0007142784,0.0002582969,0.00001026539],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04704951,0.000158708,0.9508545,0.00005485794,0.00002887003,0.00003574014,0.00004966956,0.000739102,0.001028993],"genre_scores_gemma":[0.8080168,0.0001836646,0.1900873,0.00003251359,0.00004199686,0.00006998579,0.0001464501,0.00009508858,0.001326107],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004293631,"threshold_uncertainty_score":0.008537233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005952446744461096,"score_gpt":0.2041145468351883,"score_spread":0.1981621000907272,"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."}}