{"id":"W4206005257","doi":"10.1109/icsc50472.2021.9666726","title":"Application of Machine Learning algorithms for power systems fault detection","year":2021,"lang":"en","type":"article","venue":"","topic":"Power Systems Fault Detection","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"","keywords":"Toolbox; Algorithm; Computer science; Electric power system; Support vector machine; MATLAB; Fault (geology); Fault detection and isolation; Power (physics); Artificial intelligence; Voltage; Machine learning; Engineering; Electrical engineering","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":[0.0007728846,0.0006289696,0.0005096238,0.0008416765,0.0001542404,0.0006705457,0.0004882637,0.0007180513,0.001172286],"category_scores_gemma":[0.00316849,0.0001887874,0.0003164951,0.0009002266,0.0002787497,0.000757224,0.0004574271,0.0008594589,0.0003932416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003570074,"about_ca_system_score_gemma":0.0004568776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001330217,"about_ca_topic_score_gemma":0.0007593969,"domain_scores_codex":[0.9994824,0.0001580238,0.00004275199,0.00007702979,0.0002057473,0.00003402059],"domain_scores_gemma":[0.9989938,0.0005907543,0.00008396564,0.00009072074,0.0002251578,0.00001553562],"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":[0.00007494325,0.00007508941,0.001489153,0.0001699329,0.00007948506,0.00007230423,0.00004015013,0.4972427,0.005000195,0.009121485,0.00158503,0.4850495],"study_design_scores_gemma":[0.000003019329,0.00002251024,0.0002694218,0.00001034622,0.000004256865,0.0000292506,0.000004467695,0.9915767,0.002470107,0.00466939,0.0009362731,0.000004301469],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01724465,0.00132628,0.978274,0.0002089169,0.00007522628,0.00002416737,0.00006394011,0.000851101,0.001931604],"genre_scores_gemma":[0.7058441,0.001256778,0.2898484,0.0001117898,0.0001058694,0.00006989978,0.0002786422,0.00009442733,0.002390062],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001330217,"threshold_uncertainty_score":0.004087448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007649794209516395,"score_gpt":0.2284539487885881,"score_spread":0.2208041545790717,"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."}}