{"id":"W4377042735","doi":"10.1002/cjce.24956","title":"Kinetic modelling: Regression and validation stages, a compulsory tandem for kinetic model assessment","year":2023,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Catalysis for Biomass Conversion","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Région Normandie","keywords":"Kinetic energy; Biochemical engineering; Regression analysis; Regression; Biological system; Computer science; Experimental data; Chemistry; Process engineering; Mathematics; Statistics; Machine learning; Engineering; Physics","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":[0.01414889,0.002843429,0.001853783,0.001611577,0.00101544,0.002165544,0.001758037,0.001692437,0.003839316],"category_scores_gemma":[0.02381555,0.001086814,0.002975119,0.001023299,0.0007118657,0.002450564,0.001629792,0.003220061,0.002161288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001017896,"about_ca_system_score_gemma":0.002854804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006085457,"about_ca_topic_score_gemma":0.003940618,"domain_scores_codex":[0.994385,0.002392368,0.0005706328,0.0009171826,0.001475718,0.0002590894],"domain_scores_gemma":[0.9867256,0.00607832,0.0008706223,0.002137534,0.004010131,0.000177722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0009714575,0.001178573,0.009128726,0.001297309,0.0007244995,0.0002506754,0.0004356949,0.5824089,0.1209059,0.007705442,0.004373681,0.2706191],"study_design_scores_gemma":[0.00003164448,0.0002859049,0.001838928,0.00006389776,0.00008629313,0.00005988665,0.00004008608,0.9402931,0.05178654,0.001969007,0.003462478,0.00008211547],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04071944,0.0004004277,0.9522211,0.0001909335,0.0001108974,0.0003159564,0.0004781535,0.004336708,0.001226478],"genre_scores_gemma":[0.4219496,0.0004091442,0.5701448,0.0001495519,0.00004981282,0.001163434,0.002154263,0.001614016,0.002365433],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01414889,"threshold_uncertainty_score":0.07482737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0210337393376034,"score_gpt":0.2243325189712687,"score_spread":0.2032987796336653,"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."}}