{"id":"W2039330781","doi":"10.1115/1.2188953","title":"Modeling of NaturalConvection in Electronic Enclosures","year":2005,"lang":"en","type":"article","venue":"Journal of Electronic Packaging","topic":"Material Properties and Processing","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Natural convection; Enclosure; Mechanics; Laminar flow; Thermal conduction; Cuboid; Materials science; Convection; Isothermal process; Combined forced and natural convection; Boundary layer; Computational fluid dynamics; Thermodynamics; Physics; Mechanical engineering; Engineering; Electrical engineering; Composite material","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004723147,0.0001086514,0.0002325816,0.000209278,0.00002561923,0.0000236179,0.0001239349,0.00005371132,0.00002826159],"category_scores_gemma":[0.00002070094,0.00009420583,0.00006872637,0.0001690316,0.000009310812,0.0003698541,0.000009504532,0.0004699593,0.00000132919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003378635,"about_ca_system_score_gemma":0.0001152703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001539918,"about_ca_topic_score_gemma":0.00005633349,"domain_scores_codex":[0.998851,0.00002475496,0.000484631,0.00006546908,0.0001516935,0.000422459],"domain_scores_gemma":[0.9997284,0.00001353361,0.00009899732,0.00006666973,0.0000626097,0.00002979189],"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":[0.00006321449,0.00001678966,0.0001925491,0.0001031297,0.00005175448,0.000001996911,0.0004408337,0.8689272,0.1136121,0.0004215948,0.00002963612,0.01613917],"study_design_scores_gemma":[0.0005641892,0.0001299359,0.00005817642,0.0002234494,0.00002225431,0.0001146173,0.000110306,0.9315085,0.06384329,0.001915298,0.001339851,0.0001701216],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9774219,0.01645013,0.005137509,0.0001116257,0.0001540309,0.00003856024,1.915565e-7,0.00002356061,0.0006624739],"genre_scores_gemma":[0.9984537,0.001046666,0.0001909783,0.00001991587,0.0002539247,7.91295e-7,3.347119e-7,0.00002056272,0.00001311065],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06258129,"threshold_uncertainty_score":0.3841602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005160017359730979,"score_gpt":0.2039840840381776,"score_spread":0.1988240666784466,"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."}}