{"id":"W4404609329","doi":"10.1109/epeps61853.2024.10754100","title":"Worst-Case Voltage Droop Using Peak Distortion Analysis","year":2024,"lang":"en","type":"article","venue":"","topic":"Low-power high-performance VLSI design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Voltage droop; Distortion (music); Computer science; Voltage; Control theory (sociology); Electronic engineering; Electrical engineering; Voltage regulator; Telecommunications; Engineering; Artificial intelligence; Control (management); Bandwidth (computing)","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":[0.0006194134,0.001120308,0.0005059241,0.001697916,0.0004223887,0.001095632,0.001030648,0.0003815746,0.003286831],"category_scores_gemma":[0.002915123,0.0003519742,0.0006107879,0.0009686417,0.0004189055,0.001528866,0.0005322473,0.0008392487,0.0008025083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009612991,"about_ca_system_score_gemma":0.0005368868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002445724,"about_ca_topic_score_gemma":0.002879165,"domain_scores_codex":[0.9992754,0.00008871461,0.00002862425,0.0001009688,0.00044177,0.00006454784],"domain_scores_gemma":[0.9990097,0.0005081311,0.0001073131,0.0001446806,0.0002027642,0.00002737424],"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":[0.0001699348,0.00005982476,0.00227971,0.0001604935,0.00009647501,0.0002401154,0.0001501475,0.7348839,0.03172918,0.0194561,0.001955069,0.208819],"study_design_scores_gemma":[0.000005592004,0.00005295455,0.0003255326,0.00001130558,0.00001403678,0.0001631404,0.00002228797,0.9802642,0.01277658,0.004748296,0.001595104,0.0000208895],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006728957,0.0001017663,0.9901842,0.00001976193,0.00001399063,0.00002254046,0.00004036731,0.0006771919,0.002211172],"genre_scores_gemma":[0.6521483,0.0004153713,0.3428705,0.0000443228,0.00005330969,0.00009225259,0.0002584635,0.000547003,0.003570372],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003286831,"threshold_uncertainty_score":0.01099557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01227596120542754,"score_gpt":0.2306915236361773,"score_spread":0.2184155624307498,"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."}}