{"id":"W4366545269","doi":"10.1016/j.ijheatmasstransfer.2023.124183","title":"A biomimetic approach to improve convective heat transfer using self-excited flaps","year":2023,"lang":"en","type":"article","venue":"International Journal of Heat and Mass Transfer","topic":"Heat Transfer Mechanisms","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Mechanics; Heat transfer; Materials science; Convective heat transfer; Pressure drop; Reynolds number; Heat sink; Flapping; Airflow; Flow (mathematics); Convection; Acoustics; Physics; Thermodynamics; Turbulence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001810978,0.0003133233,0.0002048056,0.0001866558,0.0001537284,0.0002408761,0.0003304484,0.0003291345,0.00122444],"category_scores_gemma":[0.0001684376,0.0001266578,0.0002086076,0.0001499049,0.0002304131,0.0004233779,0.0003588173,0.0004188803,0.0001937657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001146897,"about_ca_system_score_gemma":0.0001346554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007364813,"about_ca_topic_score_gemma":0.0001489014,"domain_scores_codex":[0.9999297,0.000009508008,0.000004657655,0.00001567946,0.00002173969,0.00001874502],"domain_scores_gemma":[0.9999033,0.00002373307,0.00002573485,0.000021084,0.00001604248,0.000009968567],"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":[0.00002899315,0.00006891409,0.0001085816,0.00007987804,0.000004867854,0.00004511878,0.00002266868,0.002103552,0.9869287,0.001313837,0.0001455286,0.00914938],"study_design_scores_gemma":[0.00002069381,0.0003222958,0.0004808504,0.00001110269,0.00001173605,0.0001196019,0.00001703461,0.02441409,0.9710812,0.0002923813,0.003216815,0.00001221985],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8823896,0.00166887,0.1105384,0.0002432237,0.0002673622,0.00006095694,0.00008439643,0.0003357681,0.004411445],"genre_scores_gemma":[0.9679415,0.0004845798,0.02947566,0.00007777375,0.00002767149,0.00004728882,0.00003694275,0.00002849275,0.001880181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00122444,"threshold_uncertainty_score":0.00409615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01478449759040471,"score_gpt":0.2375400669417921,"score_spread":0.2227555693513874,"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."}}