{"id":"W4391094455","doi":"10.1109/etecte59617.2023.10396733","title":"Addressing Power Quality Issues through Deep Learning","year":2023,"lang":"en","type":"article","venue":"","topic":"Power Quality and Harmonics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Quality (philosophy); Computer science; Power (physics)","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":[0.0003959225,0.0007568914,0.0003996569,0.0003401864,0.0001908257,0.0006518299,0.0007198584,0.0006578816,0.001159598],"category_scores_gemma":[0.001200572,0.0002333169,0.0003449495,0.0004275907,0.000315057,0.0008472702,0.0006332986,0.001140839,0.0002305239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005673636,"about_ca_system_score_gemma":0.0005175309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005317471,"about_ca_topic_score_gemma":0.006875489,"domain_scores_codex":[0.9998512,0.00001965398,0.000007490205,0.00003928317,0.00004615825,0.00003621061],"domain_scores_gemma":[0.9996412,0.0001309942,0.00006553955,0.00004035161,0.0001037906,0.00001807273],"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":[0.00008418163,0.0001375804,0.002549945,0.0001299317,0.00005329388,0.00008996623,0.00003683211,0.6402993,0.01311225,0.003402106,0.003304214,0.3368005],"study_design_scores_gemma":[0.000002590621,0.00001375869,0.0001769775,0.000005006799,0.00000625406,0.000008066232,0.000003494043,0.996187,0.00196495,0.001277781,0.0003523994,0.000001689883],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07570405,0.001135907,0.9173012,0.0004653524,0.00007920052,0.00004443496,0.0001617835,0.00196119,0.003146828],"genre_scores_gemma":[0.8881208,0.0006830042,0.1070708,0.0002655287,0.00007388198,0.000040906,0.0006301455,0.00006399956,0.003050985],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005317471,"threshold_uncertainty_score":0.01057303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1615089668010709,"score_gpt":0.3831841984580598,"score_spread":0.2216752316569889,"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."}}