{"id":"W2943899402","doi":"10.23977/jeis.2018.31013","title":"Surrounding Boards Effects on Component Temperatures of Target Board in Telecom Rack with Active or Passive Cooling","year":2018,"lang":"en","type":"article","venue":"Journal of Electronics and Information Science","topic":"Aerosol Filtration and Electrostatic Precipitation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Natural convection; Rack; Active cooling; Thermal; Electronic component; Component (thermodynamics); Passive cooling; Water cooling; Materials science; Mechanical engineering; Forced convection; Convection; Structural engineering; Engineering; Mechanics; Meteorology; Physics; Thermodynamics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004468308,0.00008175106,0.0001537478,0.0003066128,0.00009215496,0.00008770116,0.0001004779,0.00002600206,0.000004530425],"category_scores_gemma":[0.0001483773,0.00005639939,0.000015276,0.000512542,0.00008943172,0.002466889,0.000007008266,0.0002018946,9.885572e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00017859,"about_ca_system_score_gemma":0.0002813576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002003305,"about_ca_topic_score_gemma":0.000009228746,"domain_scores_codex":[0.9990538,0.00001678763,0.0003431593,0.0000478426,0.0003431462,0.0001953135],"domain_scores_gemma":[0.9992119,0.0001061438,0.000232262,0.00005270206,0.0003422106,0.00005478669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.006837898,0.0002135409,0.002930246,0.0006379149,0.000243005,0.00001580649,0.04463026,0.1135012,0.6992567,0.03902996,0.002039568,0.09066394],"study_design_scores_gemma":[0.002274242,0.004880243,0.02869882,0.0004027963,0.0000185963,0.00008883821,0.001033839,0.1227862,0.8369852,0.0003311303,0.00221399,0.0002861387],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886682,0.00004748769,0.01051516,0.00007679808,0.0001280841,0.000107337,0.000001432111,0.000007796968,0.0004477285],"genre_scores_gemma":[0.9981154,0.0001870488,0.001549584,0.0001086084,0.00003015398,0.000001823221,0.000001561114,0.000003513386,0.00000230193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1377285,"threshold_uncertainty_score":0.22999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005040284805280032,"score_gpt":0.2354797903066402,"score_spread":0.2304395055013602,"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."}}