{"id":"W2151688978","doi":"10.1002/cjce.5450850616","title":"Control of a Batch Polymerization System Using Hybrid Neural Network ‐ First Principle Model","year":2007,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Artificial neural network; Internal model; Control theory (sociology); PID controller; Inverse; Computer science; Process (computing); Controller (irrigation); Control (management); Hybrid neural network; Set (abstract data type); Process control; Control engineering; Engineering; Mathematics; Artificial intelligence; Temperature control","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003508681,0.0001498747,0.0002991009,0.0001194392,0.00005471816,0.00002275716,0.0002145727,0.00006650887,0.000001896932],"category_scores_gemma":[0.00007230739,0.00013437,0.00008735569,0.0002146598,0.00002656276,0.0001459539,0.000006118827,0.0002341617,2.794946e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004605438,"about_ca_system_score_gemma":0.00009957068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000176381,"about_ca_topic_score_gemma":0.00008193126,"domain_scores_codex":[0.9987885,0.000008153323,0.0005872629,0.00006623843,0.0001700887,0.000379769],"domain_scores_gemma":[0.9992077,0.00008374218,0.0001662331,0.0001474103,0.0001182387,0.0002766368],"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":[0.00001059631,9.554166e-7,0.00007632287,0.00006914035,0.00004441963,0.00001256031,0.00005139247,0.9577423,0.04149788,0.0004179499,0.000006219732,0.00007025133],"study_design_scores_gemma":[0.000391197,0.000007532366,0.00001544292,0.0001717174,0.00004113166,0.000175049,0.00000577052,0.9832689,0.01576404,0.000009349069,0.00003367031,0.000116198],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2459136,0.0005767393,0.752975,0.00002133108,0.0003237578,0.0001107604,0.000007522835,0.00003435574,0.0000368762],"genre_scores_gemma":[0.9964322,7.470848e-7,0.003130074,0.00001036214,0.0003739367,0.000001418643,0.000001674876,0.00004792869,0.000001608655],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7505186,"threshold_uncertainty_score":0.5479451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005830989296056726,"score_gpt":0.1797821491948455,"score_spread":0.1739511598987888,"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."}}