{"id":"W2627054467","doi":"10.1145/3054746","title":"Generating Current Constraints to Guarantee RLC Power Grid Safety","year":2017,"lang":"en","type":"article","venue":"ACM Transactions on Design Automation of Electronic Systems","topic":"Low-power high-performance VLSI design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Grid; Floorplan; Voltage drop; Power (physics); Key (lock); Voltage; Electronic engineering; Distributed computing; Electrical engineering; Embedded system","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":[0.001962173,0.001111388,0.00081474,0.0006626116,0.0005221425,0.001329812,0.001375871,0.0009036909,0.004461053],"category_scores_gemma":[0.009039541,0.0004984245,0.0007680653,0.0007488528,0.001268559,0.001942238,0.001510157,0.001648974,0.0009820478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001181386,"about_ca_system_score_gemma":0.001911681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0017126,"about_ca_topic_score_gemma":0.001699178,"domain_scores_codex":[0.9982929,0.000499484,0.00009984888,0.0002713817,0.0006126208,0.0002238266],"domain_scores_gemma":[0.9939711,0.003981771,0.0004886595,0.0007680252,0.0006825025,0.0001079728],"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":[0.000160733,0.00009272859,0.0008111983,0.0002904636,0.00002648634,0.0002599631,0.0002429687,0.6921012,0.0194244,0.1591235,0.004364863,0.1231015],"study_design_scores_gemma":[0.0000476034,0.00006494907,0.0001120271,0.00003045707,0.000007398621,0.00009138688,0.00004136249,0.9153509,0.01555908,0.06459988,0.004079537,0.00001542523],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008126685,0.00006494866,0.9881517,0.0001628807,0.00001444542,0.0001075487,0.00008323181,0.0005942133,0.002694293],"genre_scores_gemma":[0.4448545,0.0002192689,0.5509768,0.0002542634,0.00005751159,0.0003006071,0.0004979119,0.0004902374,0.002348962],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004461053,"threshold_uncertainty_score":0.01492369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01868960324126465,"score_gpt":0.2543799068200354,"score_spread":0.2356903035787708,"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."}}