{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007391311,0.0003333333,0.0004236573,0.0003331592,0.0004852414,0.0001641769,0.0007386763,0.0001407715,0.0001418147],"category_scores_gemma":[0.00007572643,0.0003419229,0.0001236291,0.0002100769,0.00007980573,0.0005026186,0.0000065328,0.0003553729,0.0002648706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004850972,"about_ca_system_score_gemma":0.0001570245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001511008,"about_ca_topic_score_gemma":0.000007486688,"domain_scores_codex":[0.9977409,0.0001195233,0.0007561106,0.0003304719,0.0004411987,0.0006118093],"domain_scores_gemma":[0.9981082,0.0001672521,0.0002209722,0.001259313,0.0001442738,0.0001000037],"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":[0.00004701319,0.00007515737,0.00001237335,0.000137637,0.0001822721,0.000001827604,0.0004635855,0.9180683,0.02947978,0.0006216333,0.0009987085,0.0499117],"study_design_scores_gemma":[0.001885626,0.0007353966,0.0006145586,0.0007908384,0.0001124985,0.00007520105,0.0001545122,0.9026299,0.08661464,0.0001360687,0.005305372,0.0009454049],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03764521,0.0004716418,0.9571886,0.00009143088,0.002499487,0.001104973,0.00004208442,0.0005085252,0.0004480261],"genre_scores_gemma":[0.9952061,0.0001628755,0.004147328,0.00001323553,0.0001132089,0.0001903373,0.000007805967,0.00006339717,0.0000957762],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9575608,"threshold_uncertainty_score":0.9999033,"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."}}