{"id":"W2004369810","doi":"10.1002/aic.690491213","title":"Hybrid approach to modeling an industrial polyethylene process","year":2003,"lang":"en","type":"article","venue":"AIChE Journal","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nova Chemicals (Canada)","funders":"NOVA Chemicals","keywords":"Process (computing); Biological system; Artificial neural network; Computer science; Empirical modelling; Process modeling; Feed forward; Process engineering; Work in process; Control engineering; Engineering; Artificial intelligence; Simulation","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.000424771,0.0001408593,0.0001712661,0.00009178841,0.00009804159,0.000122592,0.0001476224,0.0001205367,0.00008062566],"category_scores_gemma":[0.00003434248,0.0001171477,0.00004004248,0.0001025001,0.000006516768,0.000192159,0.000007995806,0.0004418161,0.00002888548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004178393,"about_ca_system_score_gemma":0.00004512033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003416912,"about_ca_topic_score_gemma":1.568931e-7,"domain_scores_codex":[0.9990883,0.00004518912,0.0002759223,0.0001160556,0.0001726015,0.0003018839],"domain_scores_gemma":[0.9995466,0.000005984017,0.00002872324,0.0001180864,0.00004717578,0.0002534656],"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":[0.00001267426,0.00004261382,0.00001095073,0.00004243634,0.000037543,0.00001129857,0.0003072582,0.9877495,0.01051526,0.00003335487,0.0007814848,0.0004556375],"study_design_scores_gemma":[0.003289437,0.0003381714,0.00000791019,0.0001915044,0.0001482304,0.002505844,0.001021964,0.7657526,0.2034134,0.004903343,0.0170492,0.001378382],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9567752,0.0009575476,0.01089128,0.00002812849,0.001507946,0.0001274747,0.000003312197,0.0001208355,0.02958829],"genre_scores_gemma":[0.9966249,0.0001793933,0.002414589,0.00005217289,0.0006018382,0.000004380783,0.00000255248,0.00004406389,0.00007609839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2219969,"threshold_uncertainty_score":0.4777143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03199452080166251,"score_gpt":0.2307005474330348,"score_spread":0.1987060266313722,"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."}}