{"id":"W2017048297","doi":"10.1115/1.4024702","title":"Computational Fluid Dynamics Assisted Control System Design With Applications to Central Processing Unit Chip Cooling","year":2013,"lang":"en","type":"article","venue":"Journal of Thermal Science and Engineering Applications","topic":"Heat Transfer and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computational fluid dynamics; Computer science; Controller (irrigation); Control system; Central processing unit; Process (computing); Chip; Control engineering; Simulation; Engineering; Computer hardware","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":[0.0009999312,0.0006713565,0.0006190508,0.0003687747,0.0005202522,0.0008809402,0.0009936847,0.0006471441,0.003629947],"category_scores_gemma":[0.001933091,0.0003948188,0.0004570133,0.0002584501,0.0006038141,0.0004455292,0.0005795991,0.0009456614,0.0004613056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005907245,"about_ca_system_score_gemma":0.001722571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003555812,"about_ca_topic_score_gemma":0.002700275,"domain_scores_codex":[0.9994854,0.0001310581,0.00002256674,0.00006945041,0.000244818,0.00004673926],"domain_scores_gemma":[0.9991246,0.0003344205,0.00007165804,0.00006229898,0.000381602,0.00002544262],"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":[0.00008436157,0.00004388557,0.0002765408,0.0001819506,0.00002866125,0.00006923211,0.00009053809,0.9110274,0.0138719,0.01330042,0.0008616746,0.06016354],"study_design_scores_gemma":[0.00001422139,0.000043865,0.00005059053,0.00001025146,0.000004740456,0.00001186952,0.000006539684,0.9914466,0.004590087,0.0009365053,0.002878749,0.000006068997],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004198875,0.0001387343,0.9927641,0.00007436152,0.00004208793,0.00007048812,0.00001651526,0.0003929686,0.00230188],"genre_scores_gemma":[0.473391,0.0004203155,0.5196765,0.00009078551,0.00006418298,0.0007378688,0.0001046229,0.0001619245,0.005352868],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003629947,"threshold_uncertainty_score":0.01214337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008950264572740046,"score_gpt":0.205064102373127,"score_spread":0.196113837800387,"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."}}