{"id":"W2167235091","doi":"10.1109/pesw.2000.847584","title":"Measurement of the harmonic distortion of the insulation loss current as a diagnostic tool for high voltage cable insulation","year":2002,"lang":"en","type":"article","venue":"2000 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.00CH37077)","topic":"High voltage insulation and dielectric phenomena","field":"Materials Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Total harmonic distortion; Current (fluid); Electrical engineering; Distortion (music); Voltage; Harmonic; Power cable; Acoustics; Materials science; Electronic engineering; Computer science; Engineering; Physics; Composite material; Amplifier","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008061994,0.0003523782,0.0003782219,0.00006971678,0.0002253816,0.0001122723,0.0005915331,0.0001456818,0.0001573687],"category_scores_gemma":[0.001431181,0.000267747,0.0003004218,0.0005014645,0.0001316535,0.0004126647,0.0001079167,0.0002000144,0.00002663513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005617375,"about_ca_system_score_gemma":0.0001423822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008431043,"about_ca_topic_score_gemma":0.000001913738,"domain_scores_codex":[0.9972623,0.0000242665,0.0008533149,0.0004732046,0.000904955,0.0004819431],"domain_scores_gemma":[0.9975002,0.0001455355,0.0006779172,0.0003206494,0.001274906,0.00008083208],"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":[0.00003339526,0.0002107863,0.004472068,0.0004505249,0.00004440528,8.521971e-8,0.006335641,0.002020999,0.9843802,0.0006136299,0.0009809263,0.0004572765],"study_design_scores_gemma":[0.00212425,0.0003129782,0.07354796,0.002164637,0.0002293195,0.000005901759,0.0002721809,0.3196099,0.5981225,0.0007035374,0.001942561,0.0009643089],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9810637,0.0001408409,0.01554715,0.0002122952,0.001597877,0.001056065,0.00003529321,0.0001134254,0.0002333549],"genre_scores_gemma":[0.9982466,0.00006096325,0.001046413,0.00006225755,0.0001612945,0.0001715078,0.000004211048,0.00004428344,0.0002024602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3862578,"threshold_uncertainty_score":0.9999775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01440393713043281,"score_gpt":0.208509661547937,"score_spread":0.1941057244175042,"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."}}