{"id":"W3156622329","doi":"10.1109/tmag.2021.3071684","title":"A Tunable Ferrite Isolator for 30 GHz Millimeter-Wave Applications","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Magnetics","topic":"Full-Duplex Wireless Communications","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Isolator; Ferrite (magnet); Slab; Materials science; Insertion loss; Extremely high frequency; Center frequency; Millimeter; Optoelectronics; Resonator; Magnet; Optics; Electrical engineering; Physics; Composite material; Engineering; Band-pass filter","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0000569339,0.0002102587,0.0002005753,0.0001188255,0.0002750649,0.00007126477,0.0002190467,0.0001404972,0.0005062589],"category_scores_gemma":[0.000005393016,0.0002618181,0.0001602273,0.0003965684,0.0000548682,0.0000829913,0.000002495282,0.0003032057,0.0001864351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000960932,"about_ca_system_score_gemma":0.00005454785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007188636,"about_ca_topic_score_gemma":0.00008229339,"domain_scores_codex":[0.9989563,0.00002813025,0.0003133482,0.0002488944,0.0001370323,0.0003163413],"domain_scores_gemma":[0.9984855,0.0002403618,0.00002698548,0.0009572823,0.0001637408,0.0001261365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001141526,0.0003835316,0.00000217831,0.0001830651,0.0001424399,0.000003541051,0.0003174601,0.884833,0.06872067,0.0003582647,0.001757585,0.04328679],"study_design_scores_gemma":[0.000796931,0.0001337409,0.00004891172,0.00004090166,0.0001768856,0.0000286886,0.0001855256,0.7243386,0.1345333,0.0001428089,0.139063,0.000510647],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01548291,0.0008083673,0.9806764,0.0003454117,0.0003345291,0.0006056263,0.0003684198,0.0004460485,0.0009322786],"genre_scores_gemma":[0.9207489,0.0009030206,0.07333984,0.0001594168,0.00007503335,0.001522752,0.00005100314,0.0001138099,0.00308622],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9073366,"threshold_uncertainty_score":0.9999834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02384440049572717,"score_gpt":0.2270010550063564,"score_spread":0.2031566545106293,"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."}}