{"id":"W3045664817","doi":"10.1016/j.ijheatmasstransfer.2020.120220","title":"Thermal-fluidic correlations for turbulent flow in a serpentine heat exchanger with novel wing-shaped turbulators","year":2020,"lang":"en","type":"article","venue":"International Journal of Heat and Mass Transfer","topic":"Heat Transfer Mechanisms","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Ministry of Science and Technology, Taiwan; Ministry of Science and Technology","keywords":"Nusselt number; Turbulator; Reynolds number; Mechanics; Materials science; Turbulence; Thermodynamics; Particle image velocimetry; Heat transfer; Heat exchanger; Vorticity; Physics; Coolant; Vortex","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001349633,0.0001784666,0.0002527647,0.0001674924,0.00002590522,0.00004473866,0.0001624927,0.00007469306,0.00008850886],"category_scores_gemma":[0.000007621468,0.0001483583,0.0001011693,0.0001028566,0.00002088005,0.0002641681,0.000004516683,0.0002363835,0.000001739266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005983633,"about_ca_system_score_gemma":0.0000353514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005428237,"about_ca_topic_score_gemma":0.00001102396,"domain_scores_codex":[0.9989365,0.00001314997,0.0004101544,0.0001357622,0.0003097643,0.0001946232],"domain_scores_gemma":[0.999586,0.0000597403,0.000006260265,0.00005133742,0.000142221,0.0001544814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009230217,0.0001490755,0.001303475,0.00016132,0.0005413532,0.0001740258,0.003845975,0.2348492,0.755567,0.0006308026,0.0001192825,0.001735432],"study_design_scores_gemma":[0.009634527,0.0006192804,0.00330656,0.0005360454,0.0001719769,0.000328248,0.0002046908,0.933707,0.04484028,0.0001651631,0.005942779,0.0005434232],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4629108,0.0003961117,0.5323423,0.00361498,0.0003505433,0.0002283016,0.000049897,0.00003134097,0.00007575354],"genre_scores_gemma":[0.9969084,0.0001462279,0.0021834,0.0004053282,0.0002739592,0.00001648843,0.00001419099,0.00004223773,0.000009790011],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7107267,"threshold_uncertainty_score":0.6049878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01680819285418025,"score_gpt":0.2203041304737915,"score_spread":0.2034959376196112,"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."}}