{"id":"W3009842943","doi":"10.1002/cjce.23738","title":"Batch process monitoring using multiway Laplacian autoencoders","year":2020,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Science Foundation of Beijing Municipality; National Natural Science Foundation of China","keywords":"Laplacian matrix; Autoencoder; Laplace operator; Regularization (linguistics); Artificial intelligence; Computer science; Pattern recognition (psychology); Nonlinear system; Graph; Artificial neural network; Batch processing; Mathematics; Theoretical computer science","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":[0.0006303476,0.0005997238,0.0004859179,0.0005125246,0.0002424909,0.0004392808,0.0006542344,0.0004620738,0.0004981086],"category_scores_gemma":[0.001262848,0.0002712712,0.0005328183,0.0004336528,0.0003399776,0.000794646,0.0004453313,0.0006473887,0.0001492145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004818614,"about_ca_system_score_gemma":0.0004660524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004853758,"about_ca_topic_score_gemma":0.00469526,"domain_scores_codex":[0.9995835,0.00007696401,0.00002224645,0.0001392448,0.000145638,0.00003230727],"domain_scores_gemma":[0.9994835,0.0002185739,0.00006897832,0.00006291027,0.0001484304,0.00001752465],"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":[0.0003249676,0.0001733899,0.005231733,0.0001019473,0.0001906283,0.0001480652,0.000138221,0.5497292,0.07261204,0.003572253,0.001275786,0.3665018],"study_design_scores_gemma":[0.000001347961,0.00001180684,0.0004058666,0.000001199801,0.000003122004,0.000007796645,0.000002448125,0.9964025,0.002787714,0.0002676026,0.0001041655,0.000004371653],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0548667,0.0001309972,0.9433852,0.00008053824,0.00002431088,0.00002223862,0.00004483304,0.0006155751,0.0008295244],"genre_scores_gemma":[0.8295618,0.00009546776,0.1682517,0.00006907228,0.00002665235,0.00003761481,0.0001240996,0.00005044855,0.0017831],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004853758,"threshold_uncertainty_score":0.009651005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01379927513646515,"score_gpt":0.2048883618956183,"score_spread":0.1910890867591532,"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."}}