{"id":"W3013091826","doi":"10.1109/eic43217.2019.9046547","title":"Water Tree Detection in Medium Voltage XLPE Cables","year":2019,"lang":"en","type":"article","venue":"","topic":"High voltage insulation and dielectric phenomena","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Manitoba Hydro","funders":"","keywords":"Voltage; Electrical engineering; Materials science; Dissipation factor; Electrical impedance; Dielectric; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000295756,0.0002025616,0.0001307117,0.00112592,0.0004860932,0.0004129595,0.0003158335,0.0003023392,0.000877781],"category_scores_gemma":[0.0006112314,0.0001263707,0.0001066449,0.001095239,0.0004231816,0.0004296971,0.0004235992,0.0002417598,0.0001621464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008500966,"about_ca_system_score_gemma":0.0005162553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02834366,"about_ca_topic_score_gemma":0.09044378,"domain_scores_codex":[0.9997824,0.0000166679,0.0000106833,0.00004815681,0.0000991963,0.00004294628],"domain_scores_gemma":[0.9993002,0.0001001708,0.0002139606,0.00001765337,0.0003172751,0.00005068042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003446915,0.00006515821,0.758409,0.0001831216,0.00003157053,0.003012516,0.003268696,0.0005859417,0.1982519,0.0002658039,0.0003396618,0.03524194],"study_design_scores_gemma":[0.0000072466,0.0003933275,0.939707,0.00004092547,0.00003446067,0.0009954474,0.002800561,0.001021532,0.05246126,0.00009796485,0.002423518,0.00001693138],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977248,0.0002183414,0.0007873267,0.00002229284,0.000004444537,0.00001338268,0.0001492439,0.00001848744,0.001061793],"genre_scores_gemma":[0.9968312,0.0002511409,0.001265441,0.00002739414,0.000003803175,0.000005882534,0.0001685873,0.000004238449,0.00144227],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02834366,"threshold_uncertainty_score":0.05635738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008145326374973798,"score_gpt":0.2147291905702226,"score_spread":0.2065838641952488,"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."}}