{"id":"W3112446812","doi":"10.1109/metamaterials49557.2020.9285154","title":"Highly Efficient and Compact Magnet-Free Isolator Based on Time-Modulated Loops","year":2020,"lang":"en","type":"article","venue":"2020 Fourteenth International Congress on Artificial Materials for Novel Wave Phenomena (Metamaterials)","topic":"Magneto-Optical Properties and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Isolator; Magnet; SIGNAL (programming language); Modulation (music); Computer science; Coupling (piping); Interference (communication); Free space; Electronic engineering; Physics; Engineering; Electrical engineering; Acoustics; Optics; Telecommunications; Mechanical engineering; Channel (broadcasting)","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":[0.0002048656,0.0004548079,0.0004609228,0.0003258394,0.0003393259,0.0003799821,0.000896586,0.0005493213,0.0009297694],"category_scores_gemma":[0.0002802877,0.000194424,0.0002458873,0.0002166399,0.0003562555,0.0007976232,0.0004668763,0.0004641146,0.0004007079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002692118,"about_ca_system_score_gemma":0.0001506919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008478145,"about_ca_topic_score_gemma":0.0002794911,"domain_scores_codex":[0.9997541,0.0000398155,0.0000116548,0.00006026813,0.00009696317,0.00003708765],"domain_scores_gemma":[0.9996876,0.00007748817,0.0001181051,0.00002468903,0.00006248859,0.0000297702],"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":[0.00008224725,0.00001841726,0.0001228013,0.00008624626,0.000009187062,0.00008672761,0.00004551651,0.000261144,0.9925807,0.00149315,0.0001486262,0.00506513],"study_design_scores_gemma":[0.00003718643,0.0004232072,0.0006283234,0.00001437084,0.00003146601,0.0005563909,0.00001881212,0.0138429,0.9756128,0.000274338,0.008534871,0.00002518937],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.712603,0.003267665,0.2721027,0.0004079108,0.0002777783,0.0001063969,0.0001231566,0.001477191,0.009634268],"genre_scores_gemma":[0.9079209,0.000458682,0.0872677,0.00009839346,0.0001158224,0.00006014006,0.00009895506,0.0001008406,0.003878606],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009297694,"threshold_uncertainty_score":0.003110409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02829040792068187,"score_gpt":0.2326997166684007,"score_spread":0.2044093087477188,"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."}}