{"id":"W1836391695","doi":"10.1109/pes.2003.1270371","title":"A system-on-a-chip architecture for power signal processing","year":2004,"lang":"en","type":"article","venue":"2003 IEEE Power Engineering Society General Meeting (IEEE Cat. No.03CH37491)","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"VHDL; Electronic engineering; Synchronization (alternating current); Computer science; Harmonics; Filter (signal processing); Field-programmable gate array; Chip; Signal processing; Digital signal processing; Engineering; Voltage; Electrical engineering; Computer hardware; Telecommunications","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":[0.0002954111,0.0006526218,0.0003713205,0.0004305824,0.0004007971,0.001080499,0.001316834,0.00088679,0.01195312],"category_scores_gemma":[0.0006497865,0.0002888743,0.0003581569,0.0005220857,0.0002753744,0.0008398223,0.0004340842,0.001037102,0.0035387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004837884,"about_ca_system_score_gemma":0.0007599877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001181733,"about_ca_topic_score_gemma":0.001986697,"domain_scores_codex":[0.9996252,0.00007810386,0.00002252959,0.000066785,0.0001639397,0.00004343372],"domain_scores_gemma":[0.9996791,0.00005962442,0.00002241426,0.00007669015,0.0001374456,0.0000248116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003629611,0.0003966084,0.001270158,0.001075404,0.0002813676,0.0006132209,0.0002466895,0.05520181,0.2668876,0.05260975,0.04028826,0.5807662],"study_design_scores_gemma":[0.0002371421,0.002558982,0.002358955,0.0001519689,0.0002845702,0.001807529,0.000105324,0.5904776,0.1279159,0.01933569,0.2546387,0.0001275415],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01311757,0.0009053838,0.9605982,0.0003464626,0.000328754,0.00031615,0.0001769643,0.006558076,0.0176526],"genre_scores_gemma":[0.3348894,0.001108299,0.6363961,0.0008669338,0.0003209464,0.0006786631,0.000795821,0.00035031,0.02459358],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01195312,"threshold_uncertainty_score":0.03998715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004465110570813018,"score_gpt":0.1868853684657163,"score_spread":0.1824202578949033,"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."}}