{"id":"W4283748798","doi":"10.1002/cjce.24522","title":"Performance enhancement and optimization for rod‐baffle heat exchangers with twisted oval tubes","year":2022,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Heat Transfer and Optimization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Baffle; Pressure drop; Materials science; Heat transfer enhancement; Reynolds number; Heat exchanger; Heat transfer; Heat transfer coefficient; Mechanics; Inlet; Thermodynamics; Physics; Turbulence; Mechanical engineering; Engineering","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":[0.0003294657,0.0004146654,0.0002864723,0.0003439062,0.0001997632,0.0002913581,0.0002795732,0.0002140893,0.0005230226],"category_scores_gemma":[0.0002605007,0.0001529415,0.000347272,0.0002699225,0.0002348463,0.0003179192,0.0002119272,0.0001389187,0.0001023547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002481432,"about_ca_system_score_gemma":0.0002070781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006064704,"about_ca_topic_score_gemma":0.0008982388,"domain_scores_codex":[0.9998899,0.00002199386,0.000006318273,0.00001916362,0.00003402735,0.00002872567],"domain_scores_gemma":[0.9998944,0.00002203847,0.0000302481,0.000009151857,0.00002872898,0.0000154486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005478442,0.0002145104,0.009244082,0.0002681531,0.00004856531,0.0002494778,0.00006499686,0.1821312,0.780089,0.001981125,0.0002580506,0.02490298],"study_design_scores_gemma":[0.00007248193,0.001352564,0.009122795,0.00001059012,0.000063268,0.00007493197,0.00008497758,0.5873822,0.4000649,0.0003278335,0.001401598,0.00004190063],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9748406,0.0001613599,0.02423581,0.00002518603,0.00001523525,0.00001766659,0.00002664496,0.00007528904,0.0006022241],"genre_scores_gemma":[0.993186,0.00007247105,0.006389573,0.000003312565,0.000002068651,0.00001144821,0.00002265878,0.000005989556,0.0003065501],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006064704,"threshold_uncertainty_score":0.001800478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006904866982920267,"score_gpt":0.1670658219877461,"score_spread":0.1601609550048259,"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."}}