{"id":"W3173884912","doi":"10.3390/mi12070786","title":"Numerical and Experimental Investigations of Micro Thermal Performance in a Tube with Delta Winglet Pairs","year":2021,"lang":"en","type":"article","venue":"Micromachines","topic":"Heat Transfer and Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Wuhan University of Science and Technology; Wuhan University; National Natural Science Foundation of China","keywords":"Vortex generator; Wingtip device; Nusselt number; Heat transfer enhancement; Vortex; Materials science; Heat transfer coefficient; Heat transfer; Mechanics; Thermal; Turbulence; Thermodynamics; Heat exchanger; Tube (container); Composite material; Physics; Reynolds number","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":[0.00002445092,0.00007947679,0.0001024733,0.00003574298,0.00002316758,0.00001029277,0.00003027261,0.00002751227,0.00001840818],"category_scores_gemma":[0.000002638513,0.00007041804,0.00001192885,0.0001484801,0.00003471323,0.00008594499,0.000006678275,0.00006138512,6.682847e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001162737,"about_ca_system_score_gemma":0.00001585427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002993428,"about_ca_topic_score_gemma":0.00002303976,"domain_scores_codex":[0.9996529,0.00001455196,0.000114544,0.00008596293,0.00004042376,0.00009160417],"domain_scores_gemma":[0.9998768,0.00001197767,0.000004077246,0.00006370567,0.00001317779,0.00003028747],"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":[0.00001122204,0.00004755997,0.1519383,0.00008632222,0.00001635462,0.000007912829,0.002049191,0.05991051,0.7853637,0.00001212638,0.00001577105,0.0005410889],"study_design_scores_gemma":[0.0005910015,0.00005707111,0.07445639,0.00007031794,0.00000714581,0.00003794821,0.0001029489,0.04305366,0.8814101,0.000002497542,0.00007551496,0.0001354433],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977634,0.0007582298,0.0009930349,0.00004368194,0.00002177239,0.00005004273,0.000006703953,0.00003597577,0.000327158],"genre_scores_gemma":[0.9945315,0.00002245044,0.005358896,0.0000251921,0.00001161126,0.000006959128,0.00002337629,0.00001451361,0.000005521981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09604641,"threshold_uncertainty_score":0.2871565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006754426309929001,"score_gpt":0.1962077147027012,"score_spread":0.1894532883927721,"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."}}