{"id":"W2077789116","doi":"10.1115/ipack2007-33636","title":"Analytical Modeling of Fluid Flow and Heat Transfer in Micro/Nano-Channel Heat Sinks","year":2007,"lang":"en","type":"article","venue":"","topic":"Heat Transfer and Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Knudsen number; Nusselt number; Temperature jump; Mechanics; Prandtl number; Laminar flow; Heat transfer; Reynolds number; Slip (aerodynamics); Thermodynamics; Heat sink; Fluid dynamics; Materials science; Forced convection; Physics; 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":[0.0002406784,0.0003038424,0.0003849339,0.0003794904,0.0002821113,0.0004861991,0.0004654404,0.0004663432,0.0009981847],"category_scores_gemma":[0.0006606883,0.0002076436,0.0003027949,0.0002260148,0.0007134237,0.0006075432,0.0002922096,0.0002031206,0.0002180744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007635353,"about_ca_system_score_gemma":0.0008967441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002687227,"about_ca_topic_score_gemma":0.001491269,"domain_scores_codex":[0.9999063,0.00001705015,0.000003809944,0.00001680444,0.00003365021,0.00002240393],"domain_scores_gemma":[0.9998375,0.00008193709,0.00002573939,0.00001480826,0.00003184061,0.000008125066],"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":[0.00005726152,0.00004862819,0.0009897882,0.00006947635,0.000007808311,0.0000816042,0.00007121243,0.937503,0.04506254,0.00941735,0.0001792276,0.006512141],"study_design_scores_gemma":[0.00000362724,0.00001046239,0.0001534371,0.000001846485,0.000001167085,0.00001015579,0.00000544359,0.9966774,0.002494087,0.0004312547,0.0002084406,0.000002669091],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6351845,0.0006578894,0.3507287,0.0002030102,0.0000553611,0.00008256208,0.0001539873,0.0005205019,0.01241339],"genre_scores_gemma":[0.9875394,0.0001640986,0.009512369,0.00001063322,0.000008971924,0.00004873657,0.00002894518,0.00002718415,0.00265974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002687227,"threshold_uncertainty_score":0.005539834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01342681535538344,"score_gpt":0.216407035366779,"score_spread":0.2029802200113956,"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."}}