{"id":"W2120626011","doi":"10.1109/elinsl.1998.704723","title":"The importance of phase resolved partial discharge pattern recognition for on-line generator monitoring","year":2002,"lang":"en","type":"article","venue":"","topic":"High voltage insulation and dielectric phenomena","field":"Materials Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec; Service de Recherche et d'EXpertise en Transformation des Produits Forestiers","funders":"","keywords":"Partial discharge; Line (geometry); Generator (circuit theory); Phase (matter); Computer science; Pattern recognition (psychology); Materials science; Electrical engineering; Artificial intelligence; Voltage; Engineering; Physics; Power (physics); Mathematics","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":[0.0004865394,0.0003243994,0.0003768307,0.0004063588,0.0001597306,0.0005031094,0.0004309786,0.0008387199,0.001142442],"category_scores_gemma":[0.002883849,0.0001472057,0.0001160344,0.0002402508,0.0002518124,0.000669252,0.0001812511,0.0003563878,0.0004373177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001293935,"about_ca_system_score_gemma":0.0001181083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003488799,"about_ca_topic_score_gemma":0.0004109036,"domain_scores_codex":[0.9995471,0.0001551077,0.00001945528,0.00008875693,0.0001610772,0.00002857938],"domain_scores_gemma":[0.9985185,0.0006653621,0.0001683301,0.0002695843,0.0003091609,0.00006910389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0006365468,0.0002857119,0.03349113,0.0001714452,0.00003170903,0.0006122732,0.0001675599,0.01240098,0.6738036,0.000316658,0.0007011844,0.2773811],"study_design_scores_gemma":[0.0001046724,0.002645426,0.1703755,0.00004482434,0.0001392421,0.007579174,0.0004321242,0.2652999,0.546761,0.001543141,0.004997347,0.00007777177],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9178127,0.0004385316,0.07755509,0.0002529,0.00005092092,0.000056626,0.0001190765,0.000731858,0.002982365],"genre_scores_gemma":[0.9827651,0.0001189727,0.01652873,0.00002620238,0.00002002409,0.000009037967,0.00008125804,0.00002463319,0.0004259774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001142442,"threshold_uncertainty_score":0.00382185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0830177742091126,"score_gpt":0.3128233152737647,"score_spread":0.2298055410646521,"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."}}