{"id":"W4387307465","doi":"10.1002/cjce.25108","title":"Heat transfer enhancement of serpentine channels with twisted tape insert by computational fluid dynamics and artificial intelligence","year":2023,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Heat Transfer Mechanisms","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computational fluid dynamics; Nusselt number; Reynolds number; Heat transfer; Artificial neural network; Insert (composites); Heat exchanger; Mechanics; Mechanical engineering; Materials science; Computer science; Artificial intelligence; Thermodynamics; Physics; Engineering; Turbulence","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":[0.0001959249,0.0002382192,0.0002302032,0.0002375467,0.0001883544,0.0004327348,0.0001968095,0.0002306674,0.0003338404],"category_scores_gemma":[0.0004613897,0.0001078499,0.0002376699,0.0001796855,0.0002851083,0.0002995515,0.0001914872,0.0001980871,0.00005238558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002348963,"about_ca_system_score_gemma":0.0002286331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001570219,"about_ca_topic_score_gemma":0.001521982,"domain_scores_codex":[0.9999382,0.00001498557,0.000003379177,0.00001369375,0.00001647669,0.00001329113],"domain_scores_gemma":[0.9998152,0.00008703965,0.00003551824,0.00001688917,0.00003363643,0.00001182244],"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":[0.0003046153,0.0001354754,0.008833772,0.000115486,0.00002146762,0.0003568486,0.00009837957,0.8037153,0.1657832,0.0009633445,0.0001428594,0.0195292],"study_design_scores_gemma":[0.000005926011,0.0001125362,0.002142048,0.00000524535,0.000007063825,0.00002654527,0.00002991858,0.9486169,0.048654,0.0001357637,0.000254385,0.000009670566],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834756,0.0001343759,0.01546094,0.00003006527,0.00001544145,0.000007630846,0.00001855616,0.00006656761,0.0007908802],"genre_scores_gemma":[0.9979317,0.00003874073,0.001901754,0.000002008535,0.000001081914,0.000002720086,0.00000600633,0.000001607375,0.0001143229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001570219,"threshold_uncertainty_score":0.003122151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01039381653527706,"score_gpt":0.1885511641167673,"score_spread":0.1781573475814902,"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."}}