{"id":"W2155571529","doi":"10.5555/603095.603195","title":"Multigrid-like technique for power grid analysis","year":2001,"lang":"en","type":"article","venue":"International Conference on Computer Aided Design","topic":"Low-power high-performance VLSI design","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Grid; Computer science; Noise margin; Transient (computer programming); Electronic engineering; Voltage; Multigrid method; Very-large-scale integration; Voltage drop; Power (physics); Power integrity; Electrical engineering; Engineering; Embedded system; Signal integrity; Transistor; Telecommunications; Interconnection","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003362377,0.0003365391,0.0003453375,0.0007201308,0.00007322522,0.0001816044,0.0007091461,0.0001454911,0.0004942471],"category_scores_gemma":[0.00001664573,0.0003303202,0.0002190226,0.000462649,0.00004214775,0.0003314908,0.00004806044,0.0002297075,0.0001716719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000180322,"about_ca_system_score_gemma":0.0000477222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009778925,"about_ca_topic_score_gemma":0.000005344516,"domain_scores_codex":[0.9982938,0.00005097637,0.0004381737,0.0004320734,0.0004084852,0.0003765341],"domain_scores_gemma":[0.9988499,0.0002223336,0.00007849509,0.0003944189,0.0003347509,0.0001201594],"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":[0.0006178828,0.0004158416,0.001667805,0.00005517469,0.004087232,0.0001586004,0.0006430452,0.8247361,0.04623626,0.02504044,0.07625454,0.02008706],"study_design_scores_gemma":[0.0007859818,0.0002646988,0.001163931,0.00005962874,0.0000856961,0.00002259664,0.00001011883,0.9690366,0.0155552,0.001076799,0.01142219,0.000516504],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003513567,0.00001605122,0.9896151,0.0002023829,0.002174428,0.0006813719,0.00004258325,0.0004932112,0.003261277],"genre_scores_gemma":[0.8619561,0.00005806453,0.1364848,0.0003528234,0.000396008,0.0003539867,0.00007724168,0.0000512916,0.0002697378],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8584425,"threshold_uncertainty_score":0.9999149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04102226705460673,"score_gpt":0.2706217965225139,"score_spread":0.2295995294679072,"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."}}