{"id":"W4240581163","doi":"10.1109/iccad.2003.159764","title":"Statistical verification of power grids considering process-induced leakage current variations","year":2003,"lang":"en","type":"article","venue":"ICCAD-2003. International Conference on Computer Aided Design (IEEE Cat. No.03CH37486)","topic":"Low-power high-performance VLSI design","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Leakage (economics); Voltage drop; Voltage; Transistor; Electrical engineering; Scaling; Grid; Drop (telecommunication); Exponential function; Computer science; Electronic engineering; Engineering; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003600615,0.0004668125,0.0005262679,0.0009166578,0.0003545587,0.000862501,0.001578102,0.000594508,0.0008122757],"category_scores_gemma":[0.04033138,0.0004477838,0.0004871348,0.001055138,0.0009301569,0.001335934,0.0007642724,0.0007224352,0.000200736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008132775,"about_ca_system_score_gemma":0.001383054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002095216,"about_ca_topic_score_gemma":0.001949999,"domain_scores_codex":[0.9961437,0.001242913,0.0002805854,0.000571294,0.001546041,0.0002154405],"domain_scores_gemma":[0.9505923,0.03470811,0.00434635,0.005973764,0.004029782,0.0003497174],"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":[0.001028451,0.0001123035,0.03784072,0.0001274636,0.0001830808,0.000514921,0.0001994755,0.8466535,0.03544183,0.01296615,0.0008394572,0.06409261],"study_design_scores_gemma":[0.00002433121,0.0001032467,0.002054496,0.000004537013,0.00001227316,0.00008189221,0.00002017062,0.9744772,0.01875436,0.004238456,0.00022098,0.000008046293],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4669276,0.0001372405,0.5270646,0.0001638998,0.00003229497,0.0000611272,0.0004212394,0.004098804,0.001093191],"genre_scores_gemma":[0.9736575,0.00003532782,0.02574885,0.00002342892,0.00001308547,0.00003520211,0.0002610786,0.00006530109,0.0001602231],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003600615,"threshold_uncertainty_score":0.01904207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05467763611471423,"score_gpt":0.2897904621042547,"score_spread":0.2351128259895405,"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."}}