{"id":"W2560765777","doi":"10.1109/cjece.2016.2594193","title":"Study on the Partial Discharge Characteristics and Development Process in Use of the Multiple Discharge Patterns for the Typical Defects in Gas-Insulated Switchgear","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Electrical and Computer Engineering","topic":"High voltage insulation and dielectric phenomena","field":"Materials Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Switchgear; Partial discharge; Ultra high frequency; Process (computing); Materials science; Computer science; Pattern recognition (psychology); Electrical engineering; Engineering; Voltage; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002107962,0.0001716485,0.0002304142,0.0004487023,0.0002010715,0.0001949252,0.0003005731,0.0003401854,0.000539138],"category_scores_gemma":[0.0006107765,0.0001449873,0.0001747757,0.0002935295,0.0002441106,0.0005633378,0.0001610374,0.0003242958,0.00009019348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001354732,"about_ca_system_score_gemma":0.0000778714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000327037,"about_ca_topic_score_gemma":0.0003540441,"domain_scores_codex":[0.9998472,0.00001335164,0.000006380966,0.00004968306,0.00006578534,0.00001757193],"domain_scores_gemma":[0.999488,0.0001844894,0.00007548617,0.00006077766,0.0001610518,0.00003013422],"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":[0.0003910803,0.0001151904,0.02231331,0.0001893245,0.00002377528,0.0004527273,0.00043667,0.002996367,0.9374568,0.0003921716,0.0001587074,0.0350739],"study_design_scores_gemma":[0.00002768061,0.001707477,0.07117182,0.00001168073,0.00004644813,0.001954345,0.0005223975,0.03121298,0.8912758,0.0002626294,0.001765688,0.00004100601],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921231,0.0001556941,0.007305709,0.00001855874,0.000005970379,0.00001432982,0.00003552107,0.00003696905,0.0003041483],"genre_scores_gemma":[0.9952337,0.00009152079,0.004268063,0.000009746868,0.000003719141,0.000008124559,0.00005003213,0.000009231292,0.0003259233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000539138,"threshold_uncertainty_score":0.001803577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02225236218749797,"score_gpt":0.2102623745729587,"score_spread":0.1880100123854607,"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."}}