{"id":"W2765622433","doi":"10.1109/isgt.2017.8085979","title":"Synchrophasor data analytics in distribution grids","year":2017,"lang":"en","type":"article","venue":"","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Cluster analysis; Leverage (statistics); Computer science; Analytics; Software deployment; Data mining; High fidelity; Real-time computing; Engineering; Electrical engineering; Artificial intelligence","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":[0.0006976407,0.0004054626,0.0003412153,0.001453029,0.0002961011,0.000831291,0.0004087799,0.000340984,0.0003733688],"category_scores_gemma":[0.003640175,0.0002178741,0.0001521341,0.001814115,0.0003039753,0.001079893,0.0005871351,0.0004527321,0.0002055557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004855995,"about_ca_system_score_gemma":0.0005006557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007959585,"about_ca_topic_score_gemma":0.007512703,"domain_scores_codex":[0.9994515,0.0001262886,0.00004542178,0.0001245146,0.000213984,0.00003835655],"domain_scores_gemma":[0.9986791,0.0006035753,0.0001631015,0.0002479233,0.0002535341,0.00005268734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003705807,0.0003543702,0.0598614,0.0001705106,0.00009353598,0.0003804764,0.0004326343,0.5371827,0.02956493,0.006090736,0.007934587,0.3575635],"study_design_scores_gemma":[0.000008486106,0.00003050182,0.01050891,0.00000729742,0.000005480035,0.00004722457,0.0001975761,0.9770437,0.005539717,0.004996388,0.001606025,0.000008688409],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6642406,0.0006457905,0.3223328,0.001601497,0.00006704475,0.00009763359,0.003249784,0.004995179,0.002769719],"genre_scores_gemma":[0.9339818,0.0002042855,0.06355464,0.00003595439,0.00002797985,0.00002351789,0.001674868,0.00005078759,0.0004462792],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007959585,"threshold_uncertainty_score":0.01582646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03212813440511159,"score_gpt":0.2700373725743501,"score_spread":0.2379092381692385,"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."}}