{"id":"W3206628916","doi":"10.35940/ijeat.d8065.049420","title":"Synchronized Phasor Measurements with GPS Time Stamping using 64 Point DFT in PMU","year":2020,"lang":"en","type":"article","venue":"International Journal of Engineering and Advanced Technology","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Phasor; Global Positioning System; Real-time computing; Units of measurement; Synchronization (alternating current); Computer science; Phasor measurement unit; Synchronizing; SIGNAL (programming language); Electric power system; Power (physics); 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":[0.0002602591,0.0005603093,0.0004430016,0.001406051,0.0003722943,0.0007692677,0.0004090354,0.0003753938,0.004111056],"category_scores_gemma":[0.00120583,0.0002247221,0.0002190039,0.001541428,0.0002175204,0.0006839585,0.0003740407,0.0003310147,0.002233462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002653509,"about_ca_system_score_gemma":0.0003497401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001225503,"about_ca_topic_score_gemma":0.001058837,"domain_scores_codex":[0.999206,0.0001179217,0.00005265223,0.0001873314,0.0003889906,0.000047122],"domain_scores_gemma":[0.9996679,0.00004659366,0.00005346999,0.00007811956,0.0001403078,0.00001359886],"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":[0.0005216505,0.0001164486,0.00852495,0.0007488652,0.00007658495,0.0006207349,0.0008292096,0.02750521,0.1175525,0.007985002,0.01380768,0.8217112],"study_design_scores_gemma":[0.0002018966,0.001282456,0.03027567,0.0003886029,0.0002278889,0.003148367,0.0008211016,0.3594589,0.3607893,0.009367649,0.2337809,0.0002572929],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07468601,0.001164471,0.8958315,0.0002879318,0.0008559184,0.000293056,0.00116722,0.008313079,0.01740084],"genre_scores_gemma":[0.687412,0.001041544,0.2975988,0.0001394894,0.000323844,0.000380552,0.001783154,0.0003626037,0.010958],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004111056,"threshold_uncertainty_score":0.01375282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01130002526924605,"score_gpt":0.2226380735488968,"score_spread":0.2113380482796507,"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."}}