{"id":"W4212948201","doi":"10.1109/aps/ursi47566.2021.9704677","title":"Wideband CPW-PS Feed for Millimeter Wave Magneto-Electric Dipole Antenna","year":2021,"lang":"en","type":"article","venue":"2021 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (APS/URSI)","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Coplanar waveguide; Lambda; Physics; Wideband; Microwave; Optics; Quantum mechanics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008164684,0.0005334256,0.0002931092,0.0001923093,0.0001042279,0.0004443624,0.0004641226,0.0005121024,0.00189773],"category_scores_gemma":[0.0001587844,0.0001620441,0.0002030154,0.0003993198,0.000107215,0.0004015254,0.0003339827,0.0003015812,0.001666331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002414562,"about_ca_system_score_gemma":0.0001162027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000140856,"about_ca_topic_score_gemma":0.0001912591,"domain_scores_codex":[0.9998908,0.00001641696,0.00000426938,0.00002707067,0.00004126177,0.00002011165],"domain_scores_gemma":[0.9998642,0.00002031393,0.00003807486,0.00002563928,0.00003622055,0.00001558451],"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":[0.0004744033,0.00005611754,0.001093687,0.0001830178,0.00004200975,0.0003585344,0.00007522877,0.003891697,0.8994541,0.007945897,0.004387989,0.08203739],"study_design_scores_gemma":[0.00009123216,0.001093776,0.003868237,0.00003372054,0.00006165681,0.002087513,0.00007892866,0.07849148,0.8455045,0.001974644,0.06665444,0.00005996495],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2596718,0.0006881097,0.7100123,0.0007142238,0.0003283191,0.00004377926,0.0004354565,0.003036608,0.02506943],"genre_scores_gemma":[0.8745707,0.0003287868,0.1127983,0.0001586602,0.00008198986,0.00004763781,0.0003926212,0.000117383,0.01150402],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00189773,"threshold_uncertainty_score":0.006348491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01287742037288988,"score_gpt":0.2286484769855988,"score_spread":0.2157710566127089,"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."}}