{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003686448,0.0002178091,0.0003545185,0.0002043962,0.00001840212,0.00007506753,0.000331831,0.0001565024,0.00006555818],"category_scores_gemma":[0.00008396636,0.0001907598,0.0001575387,0.0002981185,0.00002266377,0.0001450432,0.00001295343,0.0007704587,0.000008937094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004219527,"about_ca_system_score_gemma":0.00005665095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002042781,"about_ca_topic_score_gemma":0.00002656305,"domain_scores_codex":[0.9987063,0.00002166152,0.0005200087,0.0001119514,0.0001574453,0.0004826333],"domain_scores_gemma":[0.9992298,0.0001162413,0.00004992496,0.0001781557,0.00003091173,0.0003949153],"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":[0.000006396408,0.000002873825,0.00002107936,0.00001176775,0.00002412794,0.00001557637,0.0001058893,0.5378276,0.4613501,0.0001177591,0.0000386318,0.0004781758],"study_design_scores_gemma":[0.0002756391,0.00001544068,0.00002004676,0.00004196171,0.000007642332,0.0001555604,0.0000219051,0.779558,0.2188056,0.000006398905,0.0009180598,0.0001737204],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905397,0.00138768,0.005467963,0.0001134344,0.002113974,0.0001543571,0.000001831722,0.00007202223,0.0001490425],"genre_scores_gemma":[0.9986166,5.49582e-7,0.0007697261,0.00003284342,0.0005101225,0.000007928781,0.000001032684,0.00005289551,0.000008304572],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2425445,"threshold_uncertainty_score":0.7778957,"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."}}