{"id":"W2959345733","doi":"10.1109/itherm.2019.8757329","title":"Accurate Modeling of Forced Convection Cooling for Microelectronic Packages: Numerical and Experimental Thermal Studies","year":2019,"lang":"en","type":"article","venue":"","topic":"Heat Transfer and Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Forced convection; Computational fluid dynamics; Natural convection; Microelectronics; Mechanics; Coupling (piping); Heat transfer; Wind tunnel; Heat transfer coefficient; Thermal; Convection; Junction temperature; Materials science; Thermodynamics; Mechanical engineering; Engineering; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007603184,0.000606656,0.0007077617,0.0003407155,0.0003461317,0.0005191938,0.00120472,0.0008617776,0.00127138],"category_scores_gemma":[0.001776708,0.0003292199,0.0004367324,0.0004672721,0.000829675,0.000952317,0.0003398572,0.0004816276,0.000234189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006420363,"about_ca_system_score_gemma":0.0004449032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001597852,"about_ca_topic_score_gemma":0.001327718,"domain_scores_codex":[0.9995666,0.00007185415,0.00001735618,0.0000544523,0.0002583703,0.00003131567],"domain_scores_gemma":[0.9993149,0.0002909888,0.00008367027,0.0001465133,0.0001472513,0.00001669013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001365903,0.0001572429,0.002116832,0.000407005,0.00001797357,0.00008409567,0.0002160498,0.9014702,0.07577933,0.003387896,0.0004405403,0.01578612],"study_design_scores_gemma":[0.00001183894,0.0001717761,0.001343539,0.00001802769,0.00000807274,0.00003047355,0.00001424015,0.974072,0.02298074,0.0003674524,0.0009693268,0.00001249415],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7875875,0.002507012,0.199809,0.0002161335,0.0001070532,0.0001793306,0.000646083,0.000500425,0.008447657],"genre_scores_gemma":[0.9815683,0.0005151973,0.01674842,0.000008995446,0.00001497797,0.0001264012,0.0001392468,0.00004151309,0.0008369603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001597852,"threshold_uncertainty_score":0.004658282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01946560242058456,"score_gpt":0.2651463460819463,"score_spread":0.2456807436613618,"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."}}