{"id":"W4400930237","doi":"10.1002/cjce.25416","title":"Modelling a chemical plant using grey‐box models employing the support vector regression and artificial neural network","year":2024,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Artificial neural network; Support vector machine; Regression; Artificial intelligence; Computer science; Regression analysis; Machine learning; Pattern recognition (psychology); Statistics; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005386365,0.0005820556,0.0006700372,0.000376399,0.0003078191,0.0008454979,0.0006020519,0.0009947707,0.001349366],"category_scores_gemma":[0.000865566,0.0003536887,0.0007141301,0.0004747506,0.0004379422,0.0006190584,0.0003463096,0.0006555317,0.0002063566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005674144,"about_ca_system_score_gemma":0.0006404265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01482358,"about_ca_topic_score_gemma":0.006983251,"domain_scores_codex":[0.9998005,0.00008039676,0.000008868452,0.00003722608,0.00005110836,0.0000219262],"domain_scores_gemma":[0.9996542,0.00021706,0.00004354563,0.00001384481,0.00006246095,0.000009025115],"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":[0.00001000514,0.000005889782,0.0001265206,0.00001278443,0.000006763179,0.0000181266,0.000007063116,0.9976835,0.0003644953,0.0004391201,0.00002635356,0.001299371],"study_design_scores_gemma":[7.283799e-7,0.000004785946,0.00002833758,8.303728e-7,0.000001033107,9.812103e-7,0.000001047979,0.9997421,0.0000948341,0.0000991923,0.00002521159,8.483881e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.220949,0.0005518993,0.7682996,0.000271345,0.00006752742,0.00008161892,0.0001332851,0.0004535975,0.00919218],"genre_scores_gemma":[0.9833139,0.0002037009,0.01385555,0.00001674565,0.000008019907,0.00006755207,0.00005300989,0.00001544693,0.002466033],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01482358,"threshold_uncertainty_score":0.02947462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02170635297678111,"score_gpt":0.2028559068212539,"score_spread":0.1811495538444728,"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."}}