{"id":"W2097948870","doi":"10.1115/1.2351896","title":"The Role of FinGeometry in Heat Sink Performance","year":2006,"lang":"en","type":"article","venue":"Journal of Electronic Packaging","topic":"Heat Transfer and Optimization","field":"Engineering","cited_by":89,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nusselt number; Dimensionless quantity; Mechanics; Thermodynamics; Fin; Heat sink; Materials science; Heat transfer; Reynolds number; Pressure drop; Heat transfer coefficient; Entropy (arrow of time); Physics; Composite material; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004070429,0.00006215333,0.0001185628,0.0001256668,0.00003370451,0.00001375228,0.00009450093,0.00002755176,0.000004318902],"category_scores_gemma":[0.000009022921,0.00004706512,0.00004370142,0.0002558299,0.00001223408,0.0001425251,0.000003022791,0.0002630521,7.225574e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001246208,"about_ca_system_score_gemma":0.0000498952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008883637,"about_ca_topic_score_gemma":0.00002964562,"domain_scores_codex":[0.9992667,0.00001735174,0.0003058576,0.00003280272,0.0001238453,0.0002533876],"domain_scores_gemma":[0.9998099,0.00005762733,0.00002017411,0.00006124486,0.00003389532,0.00001711548],"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":[0.00002427222,0.0000259473,0.03000823,0.00003680808,0.00003014272,0.00000254976,0.0001715714,0.9139957,0.03306922,0.0006666278,0.00007346055,0.02189543],"study_design_scores_gemma":[0.001297938,0.000255626,0.04788128,0.0002936131,0.00004139946,0.0001281684,0.0002119033,0.7135418,0.2255568,0.002680401,0.007825974,0.0002851108],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.979529,0.009086506,0.00797412,0.00006959517,0.00007302718,0.00003350918,2.894122e-7,0.000011539,0.003222378],"genre_scores_gemma":[0.9988435,0.0009615055,0.00009450385,0.000004856905,0.00007440816,5.46415e-7,4.146942e-7,0.0000108326,0.000009444471],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.200454,"threshold_uncertainty_score":0.191926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.001969681756299119,"score_gpt":0.1736217362700186,"score_spread":0.1716520545137195,"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."}}