{"id":"W2053350693","doi":"10.1016/j.ijepes.2010.12.007","title":"Enhancement of the current quality using efficient extraction and mitigation processes","year":2011,"lang":"en","type":"article","venue":"International Journal of Electrical Power & Energy Systems","topic":"Power Quality and Harmonics","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University; Royal Military College of Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Current (fluid); Quality (philosophy); Extraction (chemistry); Computer science; Risk analysis (engineering); Environmental science; Engineering; Business; Electrical engineering; Chemistry; Physics; Chromatography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000353554,0.00008500352,0.0001545785,0.0001043518,0.00002583806,0.00002427443,0.0001949759,0.00003869121,0.00000814171],"category_scores_gemma":[0.00009287467,0.00006260968,0.00006567735,0.0001436339,0.00002987314,0.000115336,0.00001841551,0.0001557061,3.625631e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000156617,"about_ca_system_score_gemma":0.00007753868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005429559,"about_ca_topic_score_gemma":0.00000364224,"domain_scores_codex":[0.9986466,0.0000777082,0.0006120179,0.00007009327,0.0004906352,0.0001029318],"domain_scores_gemma":[0.998992,0.00006959521,0.0003668604,0.00006743567,0.0004570069,0.00004713313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001271587,0.003974937,0.009542011,0.00119459,0.00342017,0.00005522,0.01278215,0.1685774,0.5568607,0.1668276,0.00178096,0.07371269],"study_design_scores_gemma":[0.002518247,0.0005745401,0.01888334,0.002081455,0.0002456062,0.0006499532,0.0004073679,0.1789316,0.7565964,0.003721369,0.03445698,0.0009330823],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8468615,0.007103113,0.1416008,0.00003295908,0.00365038,0.00005939582,0.000005227856,0.00001277853,0.0006738651],"genre_scores_gemma":[0.9994923,0.0002610029,0.0001010566,0.00001042431,0.0001157918,0.000001747242,6.444942e-7,0.000007332533,0.00000964739],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1997358,"threshold_uncertainty_score":0.2553149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04123099209733464,"score_gpt":0.30019785022019,"score_spread":0.2589668581228553,"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."}}