{"id":"W4281911923","doi":"10.1016/j.compchemeng.2022.107862","title":"A hybrid modelling approach to model process dynamics by the discovery of a system of partial differential equations","year":2022,"lang":"en","type":"article","venue":"Computers & Chemical Engineering","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates; University of Alberta","keywords":"Partial differential equation; Computer science; Process (computing); System dynamics; Exploit; Mathematical optimization; Algorithm; Data mining; Artificial intelligence; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005082616,0.0005502725,0.0008601607,0.0004702478,0.0003432123,0.001105987,0.001166331,0.001051324,0.001394604],"category_scores_gemma":[0.001066406,0.0004340155,0.001114857,0.0005051185,0.000849291,0.001254896,0.0009862934,0.001296759,0.0003099999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006050022,"about_ca_system_score_gemma":0.0007374705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003029815,"about_ca_topic_score_gemma":0.002449201,"domain_scores_codex":[0.9997407,0.00008764629,0.00001383466,0.0000502539,0.00008816438,0.00001938939],"domain_scores_gemma":[0.9996552,0.0002027247,0.00003794458,0.00003972176,0.00004870828,0.00001561963],"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":[0.00004354389,0.0000411758,0.0004585524,0.0001610596,0.0001113229,0.0001541296,0.0001365917,0.7332608,0.00653627,0.2400139,0.0008248093,0.01825792],"study_design_scores_gemma":[0.00000525171,0.00001236246,0.00006545568,0.000005388493,0.000009843003,0.00002366249,0.000004884457,0.9668273,0.000491976,0.03119918,0.001347326,0.000007432723],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006300504,0.0003370404,0.989625,0.0002960586,0.00004917474,0.00001893278,0.00004439336,0.0001288564,0.00320002],"genre_scores_gemma":[0.6700364,0.001467576,0.3148201,0.0002351195,0.0001550475,0.0002297812,0.0002085355,0.0001213085,0.01272611],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003029815,"threshold_uncertainty_score":0.006024361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01109731643975992,"score_gpt":0.1961080839605071,"score_spread":0.1850107675207472,"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."}}