{"id":"W2044586463","doi":"10.1115/1.4001852","title":"Multi-Objective Optimization to Improve Both Thermal and Device Performance of a Nonuniformly Powered Micro-Architecture","year":2010,"lang":"en","type":"article","venue":"Journal of Electronic Packaging","topic":"Low-power high-performance VLSI design","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Advanced Micro Devices (Canada); University of Toronto","funders":"Semiconductor Research Corporation","keywords":"Pentium; Memory controller; Junction temperature; Microprocessor; Power (physics); Controller (irrigation); Reliability (semiconductor); Computer science; Operating temperature; Automotive engineering; Embedded system; Simulation; Engineering; Computer hardware; Electrical engineering; Operating system; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004747517,0.0002293278,0.0003325464,0.0003490277,0.00007246853,0.0000401567,0.0002452803,0.0001032334,0.0000190505],"category_scores_gemma":[0.0000418154,0.0001972993,0.00007359407,0.0003174873,0.00003977333,0.0004666543,0.00003432828,0.0009171387,0.000002678782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000142616,"about_ca_system_score_gemma":0.0001684209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005176877,"about_ca_topic_score_gemma":0.00001899897,"domain_scores_codex":[0.9986378,0.00002363193,0.0004538393,0.0001460971,0.0002233193,0.0005153094],"domain_scores_gemma":[0.9992349,0.00005029664,0.0002221291,0.0001944444,0.0001670045,0.0001311926],"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":[0.00009719129,0.00002668687,0.001648422,0.00007337998,0.0001013759,0.000003226487,0.001319698,0.1668952,0.8245413,0.000007386367,0.00001614213,0.005270006],"study_design_scores_gemma":[0.003014548,0.001358653,0.01817537,0.0002736471,0.0001313513,0.0004557942,0.0002268735,0.3961267,0.5789583,0.00002057753,0.0005968755,0.000661273],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9620665,0.0005304838,0.03659169,0.00005987834,0.0003256909,0.0002080038,0.000003615439,0.00003869256,0.0001754354],"genre_scores_gemma":[0.9683376,0.0001263241,0.0312685,0.00004835178,0.000142342,0.000004056571,0.000001027794,0.00005029755,0.00002152904],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2455829,"threshold_uncertainty_score":0.8045633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003203799399238668,"score_gpt":0.2009689967428121,"score_spread":0.1977651973435734,"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."}}