{"id":"W2096308491","doi":"10.1109/stherm.1992.172856","title":"F/sub opt/-a thermal optimization factor for microelectronic packages","year":2003,"lang":"en","type":"article","venue":"","topic":"Heat Transfer and Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Microelectronics; Thermal resistance; Thermal; Chip; R package; Computer science; Junction temperature; Package design; Factor (programming language); Engineering; Electrical engineering; Engineering drawing; Physics; Computational science; Programming language; Thermodynamics; Telecommunications","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":[0.00004153737,0.0001033212,0.00008492578,0.00003973888,0.00004243344,0.00002814545,0.0000424981,0.00006524248,0.0003289302],"category_scores_gemma":[0.000009307754,0.00009640271,0.00004351649,0.00008422117,0.000006481801,0.0001188195,0.000001143256,0.00004901971,0.00001071388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003940561,"about_ca_system_score_gemma":0.00001687722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.569075e-7,"about_ca_topic_score_gemma":0.000003557124,"domain_scores_codex":[0.9995018,0.00001186711,0.0001142475,0.00009823713,0.00004656608,0.0002273051],"domain_scores_gemma":[0.9998157,0.00002505312,0.000003298255,0.00008584547,0.00002838169,0.00004172956],"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":[0.000002988752,0.000009819885,0.00004309873,0.0000267968,0.00001961778,1.37994e-7,0.0000861567,0.960828,0.03572224,0.0009049924,0.0001838036,0.002172349],"study_design_scores_gemma":[0.0006040168,0.00005465965,0.0001339344,0.00000568146,0.00001592119,0.000002064673,0.00001825746,0.4247313,0.5714632,0.00003479009,0.002693076,0.0002431194],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02903238,0.000193665,0.9628941,0.0000241386,0.0001241152,0.0002536824,0.00001172518,0.0002839596,0.007182176],"genre_scores_gemma":[0.9731693,0.0001565088,0.02636703,0.00004388675,0.00003054141,0.00003105649,0.00002544252,0.00004001662,0.0001362697],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9441369,"threshold_uncertainty_score":0.3931188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007890860524920024,"score_gpt":0.1999273823852646,"score_spread":0.1920365218603446,"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."}}