{"id":"W1994438562","doi":"10.5555/2561828.2561933","title":"Redundancy-aware electromigration checking for mesh power grids","year":2013,"lang":"en","type":"article","venue":"TSpace","topic":"Copper Interconnects and Reliability","field":"Materials Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Electromigration; Redundancy (engineering); Reliability (semiconductor); Grid; Computer science; Interconnection; Reliability engineering; Power grid; Margin (machine learning); Power (physics); Electronic engineering; Electrical engineering; Engineering; Mathematics; Telecommunications; Physics; Geometry","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000251067,0.000104137,0.000134148,0.0000248899,0.0001193127,0.0001267049,0.0001465686,0.00006387344,0.002788755],"category_scores_gemma":[0.0001097294,0.00007981791,0.00006527499,0.00006116713,0.0000410521,0.0001779901,0.00003666809,0.00006111871,0.0002831219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006342859,"about_ca_system_score_gemma":0.00004199367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003847244,"about_ca_topic_score_gemma":0.00006737921,"domain_scores_codex":[0.9991664,0.00002909832,0.0001489697,0.0002654582,0.0001138018,0.0002762905],"domain_scores_gemma":[0.9994193,0.0000643727,0.00005657216,0.0002593468,0.0001420707,0.00005829898],"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":[0.00001620029,0.00003203604,0.0001020963,0.00002252266,0.000003469451,2.325346e-7,0.001548784,0.000004256091,0.9754074,0.0008025515,0.02159777,0.0004627152],"study_design_scores_gemma":[0.0004175183,0.0003872743,0.002056755,0.00004564004,0.00001417569,0.000006278725,0.001275717,0.001204766,0.9751829,0.00304954,0.01607435,0.0002851172],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903784,0.00007154359,0.003372442,0.00277731,0.0005521676,0.0004753814,0.000003571679,0.0001095234,0.002259637],"genre_scores_gemma":[0.9952168,0.000004543159,0.001183726,0.0001864588,0.0001142411,0.0001006141,0.000005391861,0.00001400594,0.003174216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00552342,"threshold_uncertainty_score":0.9981228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01488651409076685,"score_gpt":0.304143746510279,"score_spread":0.2892572324195121,"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."}}