{"id":"W2135733515","doi":"10.1109/tcad.2010.2096593","title":"Fast Vectorless Power Grid Verification Under an RLC Model","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems","topic":"Low-power high-performance VLSI design","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"RLC circuit; Computer science; Grid; Scalability; Process (computing); Power (physics); Node (physics); Power grid; Voltage; Electronic engineering; Electrical engineering; Engineering; Mathematics; Programming language; Capacitor","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":[0.002041221,0.0009040604,0.0007899489,0.0006179282,0.0004242111,0.001407708,0.001728411,0.0007936549,0.004536769],"category_scores_gemma":[0.005693606,0.0005471451,0.0007579709,0.0004862955,0.001504576,0.003109885,0.001390697,0.001808597,0.0008705384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001592143,"about_ca_system_score_gemma":0.002210606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00621085,"about_ca_topic_score_gemma":0.007868755,"domain_scores_codex":[0.9968705,0.0006952112,0.0001301581,0.0004518432,0.001591258,0.0002610954],"domain_scores_gemma":[0.9954125,0.002127138,0.0004521724,0.001250114,0.0007112171,0.00004669534],"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":[0.000252215,0.00005925599,0.0005763774,0.0001695264,0.0000298299,0.0002478065,0.0001438343,0.8398829,0.01812043,0.09239469,0.002663098,0.04546005],"study_design_scores_gemma":[0.00002566664,0.0000315624,0.00002463948,0.000009078856,0.000005087646,0.00002893209,0.000009086123,0.9803428,0.006594105,0.0120241,0.0008978071,0.000007013864],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00700707,0.00003121817,0.9888412,0.00009473845,0.00001164257,0.00005883824,0.0001109964,0.001908038,0.001936224],"genre_scores_gemma":[0.7340565,0.0001133916,0.2613004,0.0002755452,0.00002283157,0.0002371238,0.0003161441,0.0005077919,0.003170144],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00621085,"threshold_uncertainty_score":0.01517701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04993209140942786,"score_gpt":0.2131988240432033,"score_spread":0.1632667326337754,"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."}}