{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005157133,0.0004297544,0.0003230103,0.0003023876,0.000293499,0.0006725393,0.0002537051,0.000284751,0.002227229],"category_scores_gemma":[0.002319581,0.0002208676,0.000156559,0.0001354349,0.0003639901,0.0006843575,0.0004360001,0.0001529866,0.0004771211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001506832,"about_ca_system_score_gemma":0.0001591697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002248239,"about_ca_topic_score_gemma":0.000243761,"domain_scores_codex":[0.9997829,0.00004905085,0.00001307493,0.00005085735,0.00004936085,0.00005475881],"domain_scores_gemma":[0.9991702,0.0004033902,0.0001199812,0.00009859935,0.000168382,0.00003952146],"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":[0.000804011,0.00007243756,0.008976853,0.0001887312,0.00002443555,0.0002757966,0.0001346309,0.02484165,0.9257876,0.0007442885,0.0002466902,0.03790292],"study_design_scores_gemma":[0.00001472311,0.0008479701,0.0242218,0.00002038105,0.00004619688,0.000429111,0.00009379834,0.04543,0.9269788,0.0003739124,0.001516499,0.00002683446],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9814082,0.0004358917,0.01405028,0.00007342434,0.00002965689,0.00001726446,0.00009241808,0.0002630427,0.003629998],"genre_scores_gemma":[0.9984012,0.00005528822,0.001044339,0.00001121992,0.00000405405,0.000003152237,0.00002482194,0.00002555849,0.0004304065],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002227229,"threshold_uncertainty_score":0.007450759,"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."}}