{"id":"W2099063072","doi":"10.1109/newcas.2011.5981278","title":"Silicon-die thermal monitoring using embedded sensor cells unit","year":2011,"lang":"en","type":"article","venue":"","topic":"Advancements in Semiconductor Devices and Circuit Design","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières; Université du Québec en Outaouais","funders":"Natural Sciences and Engineering Research Council of Canada; CMC Microsystems","keywords":"Very-large-scale integration; Microelectromechanical systems; Die (integrated circuit); Chip; Integrated circuit; Thermal; Electronic engineering; Materials science; Stack (abstract data type); Computer science; Temperature measurement; Silicon; Electrical engineering; Engineering; Optoelectronics; Nanotechnology","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":[0.000194173,0.0003242274,0.0003759843,0.000332248,0.0001315597,0.0002752576,0.0007115544,0.0003066825,0.00146943],"category_scores_gemma":[0.0004725832,0.0001469603,0.0001228679,0.0003637997,0.0001287742,0.0004716529,0.0002014168,0.0002187335,0.0004220247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002484823,"about_ca_system_score_gemma":0.0001662891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002768121,"about_ca_topic_score_gemma":0.0005144256,"domain_scores_codex":[0.9995955,0.00004293592,0.00001530624,0.0001106117,0.0002134877,0.00002225838],"domain_scores_gemma":[0.9995882,0.00008719809,0.00005426317,0.00006866746,0.000178882,0.00002284367],"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":[0.00038206,0.0001390869,0.003892922,0.0002339579,0.00004627948,0.0001436178,0.0001072843,0.005123477,0.8940406,0.0008462769,0.0008616771,0.09418278],"study_design_scores_gemma":[0.00002242112,0.0004354732,0.005341825,0.00001089957,0.00003608886,0.0002563643,0.00003261038,0.07374103,0.9165403,0.0001431471,0.003420374,0.00001962647],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7319965,0.000914876,0.2570167,0.00009774757,0.0002040215,0.0001881954,0.0007389279,0.00299631,0.005846614],"genre_scores_gemma":[0.9083517,0.0002207872,0.08793329,0.0000600244,0.00001920232,0.00007128883,0.0002096836,0.00004417454,0.003089873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00146943,"threshold_uncertainty_score":0.004915774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08927017345554404,"score_gpt":0.2633133165444326,"score_spread":0.1740431430888886,"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."}}