{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005186601,0.0003793793,0.0003667404,0.0006009189,0.0006679313,0.0007855731,0.0004908162,0.0005556835,0.0004944244],"category_scores_gemma":[0.001187984,0.0002347268,0.0003327917,0.0003161815,0.00102036,0.0008112055,0.0004782551,0.0005259141,0.00009061996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005808973,"about_ca_system_score_gemma":0.0004961189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003438916,"about_ca_topic_score_gemma":0.002072792,"domain_scores_codex":[0.9998735,0.00004540249,0.000007704314,0.00002480039,0.00002478684,0.00002367021],"domain_scores_gemma":[0.9994996,0.0002353843,0.0000891385,0.00002739255,0.00009412738,0.00005439976],"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":[0.001127419,0.0002911246,0.02344693,0.00009283237,0.0000487498,0.0007200944,0.0002585895,0.8447723,0.1076379,0.01252387,0.00048559,0.00859453],"study_design_scores_gemma":[0.00001472678,0.00008675052,0.003723421,0.000004379498,0.000005965565,0.00002119722,0.00002451765,0.9876091,0.008163668,0.0002296126,0.00009755837,0.00001900527],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906952,0.0001346771,0.008015945,0.00004752717,0.00001715939,0.000009871108,0.00002735427,0.00007310516,0.0009791359],"genre_scores_gemma":[0.999069,0.00002402297,0.0006288165,0.000003289005,0.000002818765,0.000003683838,0.00001212355,0.000008266959,0.0002478574],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003438916,"threshold_uncertainty_score":0.006837785,"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."}}