{"id":"W1890310797","doi":"10.1109/icsmc.1998.725130","title":"Subsystem modelling using neural networks with application to manufacturing systems","year":2002,"lang":"en","type":"article","venue":"","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Artificial neural network; Compatibility (geochemistry); Empirical modelling; Physical system; Control engineering; Artificial intelligence; Engineering; Simulation","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0006453364,0.0009343022,0.0008428399,0.0006289674,0.0005517901,0.0008382669,0.000859255,0.001415507,0.001863451],"category_scores_gemma":[0.002103281,0.0005249362,0.0006532737,0.000973933,0.0005742682,0.001133761,0.000643256,0.0009710625,0.0003734596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001061605,"about_ca_system_score_gemma":0.000898033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01600017,"about_ca_topic_score_gemma":0.01165186,"domain_scores_codex":[0.9996697,0.0001482975,0.0000195384,0.00005167924,0.00008272413,0.00002805714],"domain_scores_gemma":[0.9993619,0.0004100357,0.00006091848,0.00003846971,0.0001128408,0.00001592582],"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":[0.000008264922,0.000004567929,0.00007085856,0.00001705689,0.000008730422,0.00001391267,0.00001137138,0.9906183,0.0002261798,0.00209247,0.00007385127,0.006854473],"study_design_scores_gemma":[5.619516e-7,0.00000195597,0.0000145235,0.000001560743,0.000001008763,0.000001882073,0.000001100002,0.9987566,0.00007028892,0.001062016,0.00008692106,0.000001510481],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01142999,0.0006442866,0.9843813,0.0001932695,0.0000250272,0.00002835028,0.00003678721,0.0004408653,0.002820147],"genre_scores_gemma":[0.7336758,0.001894234,0.2555995,0.00009832892,0.0001037643,0.0003505402,0.0001934335,0.0001438934,0.007940593],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01600017,"threshold_uncertainty_score":0.03181404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0323664970714857,"score_gpt":0.2179547164823011,"score_spread":0.1855882194108154,"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."}}