{"id":"W1965787248","doi":"10.1109/aps.2014.6905311","title":"High gain hybrid DRA / horn antenna for MMW applications","year":2014,"lang":"en","type":"article","venue":"","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Horn antenna; French horn; High-gain antenna; Directional antenna; Computer science; Antenna (radio); Electrical engineering; Telecommunications; Engineering; Acoustics; Slot antenna; Physics","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":[0.0002117989,0.0005921207,0.000556211,0.0002399157,0.00009830307,0.0005884461,0.0006398665,0.0007041684,0.001891774],"category_scores_gemma":[0.0002122202,0.0002611121,0.0004301957,0.0004362749,0.0001686473,0.0004432704,0.0004732542,0.0003866109,0.002525576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002390652,"about_ca_system_score_gemma":0.0001459593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001430731,"about_ca_topic_score_gemma":0.0002978511,"domain_scores_codex":[0.999667,0.00005874402,0.00001446357,0.00005589923,0.0001495454,0.00005434638],"domain_scores_gemma":[0.999694,0.00004236572,0.00007513855,0.00005627006,0.00009692821,0.00003531655],"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":[0.0002017407,0.00003351185,0.0006739003,0.0001380183,0.00004775415,0.0001765906,0.00002662978,0.003609783,0.9473224,0.002036475,0.001586261,0.044147],"study_design_scores_gemma":[0.0001171204,0.001299656,0.005774007,0.00003407294,0.00009599104,0.002849351,0.0000735295,0.1326992,0.8226414,0.001165289,0.03313389,0.0001164426],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.232841,0.001742868,0.7428644,0.0004328295,0.0001862316,0.00005949106,0.0003760894,0.0028414,0.01865572],"genre_scores_gemma":[0.7474586,0.0004317914,0.2420758,0.0002854718,0.00008039979,0.00006615209,0.0004330069,0.0001577918,0.009010956],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001891774,"threshold_uncertainty_score":0.006328583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007390836190225842,"score_gpt":0.2002240667742054,"score_spread":0.1928332305839796,"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."}}