{"id":"W2293569696","doi":"10.1109/tpel.2015.2496354","title":"Galvanic Isolation for High-Frequency Applications Using an Integrated Dielectric Structure","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Power Electronics","topic":"Dielectric materials and actuators","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs","funders":"","keywords":"Galvanic isolation; Dielectric; Isolation (microbiology); Galvanic cell; Electronic engineering; Electrical engineering; Materials science; Computer science; Optoelectronics; Engineering; Voltage; Metallurgy","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":[0.0001211686,0.0003707185,0.0002352502,0.0002372916,0.0001774616,0.0005956889,0.0007655979,0.0003892015,0.001007096],"category_scores_gemma":[0.0002327414,0.0002022391,0.0002972542,0.0002248947,0.0002044003,0.0006851341,0.0003809135,0.0004587823,0.0005678973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003334056,"about_ca_system_score_gemma":0.0002504634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001558199,"about_ca_topic_score_gemma":0.0004574949,"domain_scores_codex":[0.9998265,0.00001029647,0.000008014573,0.00004056665,0.00009160618,0.00002308916],"domain_scores_gemma":[0.9998817,0.00002273882,0.00002584201,0.0000176296,0.00003814844,0.00001381715],"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":[0.00004759143,0.00002112959,0.0002782429,0.00009268303,0.00001496966,0.00005339843,0.00002720379,0.0003955768,0.9813949,0.001018751,0.0002210645,0.0164345],"study_design_scores_gemma":[0.00006453169,0.0008904129,0.002459248,0.0000264983,0.000132258,0.001184172,0.00004991571,0.01485721,0.9496798,0.0006131964,0.03001119,0.00003166156],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4411343,0.005716246,0.5330985,0.0004457501,0.0004671623,0.0001203189,0.0001991171,0.001400646,0.01741806],"genre_scores_gemma":[0.8786503,0.001579778,0.1151363,0.0002303145,0.0001639823,0.00004933497,0.0001933669,0.00007685834,0.003919708],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001007096,"threshold_uncertainty_score":0.003369093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01176114833192569,"score_gpt":0.2302752203551093,"score_spread":0.2185140720231836,"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."}}