{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008381516,0.00008645506,0.0001266389,0.00005669115,0.00005228706,0.00002380052,0.0001000692,0.00002375146,0.00009199149],"category_scores_gemma":[0.000008813171,0.00007611378,0.00008271883,0.0001019145,0.0000145218,0.0000433223,0.000007220104,0.0000391578,0.0001633392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001220556,"about_ca_system_score_gemma":0.000002749065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001224836,"about_ca_topic_score_gemma":0.000006500276,"domain_scores_codex":[0.999544,0.000005527568,0.0001212621,0.0001170148,0.00005079367,0.0001614392],"domain_scores_gemma":[0.9996672,0.00004658343,0.00001144926,0.0001885482,0.00003100474,0.00005519708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002386798,0.0001839415,0.0005169719,0.0003613705,0.0006796696,0.000003251055,0.0001436929,0.003371831,0.6122969,0.229997,0.05448359,0.09793797],"study_design_scores_gemma":[0.0001732654,0.00001467825,0.00006401954,0.000004477921,0.00003743285,0.00000153784,0.00002887777,0.9646852,0.001865747,0.002928631,0.03003833,0.0001577912],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0009597381,0.00005291136,0.9964209,0.0001541226,0.00003870835,0.0001352489,0.00001020391,0.0003344019,0.001893721],"genre_scores_gemma":[0.9853522,0.00002733192,0.01122201,0.0001503614,0.0001720995,0.000119529,0.00002988758,0.00002349232,0.002903061],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9851989,"threshold_uncertainty_score":0.310383,"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."}}