{"id":"W2948608298","doi":"10.1002/cjce.23507","title":"Experimental methods in chemical engineering: Artificial neural networks–ANNs","year":2019,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Polytechnique Montréal","funders":"","keywords":"Artificial neural network; Overfitting; Artificial intelligence; Computer science; Leverage (statistics); Machine learning; Exploit","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":[0.006027766,0.001428459,0.001525936,0.002872079,0.0007299877,0.003620946,0.002547565,0.003263293,0.008790403],"category_scores_gemma":[0.01647882,0.0007936368,0.001188317,0.003452173,0.003476496,0.005806274,0.002527525,0.004370718,0.004048252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002078314,"about_ca_system_score_gemma":0.001877659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001721304,"about_ca_topic_score_gemma":0.001570877,"domain_scores_codex":[0.9938453,0.002338244,0.0004442174,0.0008640755,0.002372262,0.000135992],"domain_scores_gemma":[0.99258,0.004297537,0.0007198594,0.0009381613,0.001296569,0.0001678296],"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":[0.0001264348,0.0002115709,0.003731849,0.005421178,0.0003134153,0.0002274177,0.0003180162,0.03782056,0.005922343,0.437645,0.04523631,0.4630259],"study_design_scores_gemma":[0.00005626236,0.0002279877,0.002858627,0.003276415,0.0001062473,0.0005720815,0.0002846979,0.08387659,0.006490474,0.4803847,0.4216498,0.0002161105],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006051295,0.1371211,0.7632925,0.01681624,0.00758203,0.0004302941,0.001394565,0.002161202,0.06515078],"genre_scores_gemma":[0.1582107,0.1973561,0.5860704,0.008519631,0.00768552,0.002098695,0.002643092,0.001035372,0.03638046],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008790403,"threshold_uncertainty_score":0.03187829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00964346236209387,"score_gpt":0.2305058015840519,"score_spread":0.220862339221958,"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."}}