{"id":"W2972909843","doi":"","title":"Signal and System Approach for Designing Planar Wideband High Gain Endfire Millimeter Wave Antennas","year":2019,"lang":"en","type":"article","venue":"European Conference on Antennas and Propagation","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Antenna gain; Wideband; Optics; Radiation pattern; Planar; Broadband; Extremely high frequency; Antenna aperture; Physics; Bandwidth (computing); Antenna measurement; Dipole antenna; High-gain antenna; Antenna (radio); Optoelectronics; Computer science; Telecommunications","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":[0.0002492472,0.0004985943,0.0003241499,0.0002732409,0.0002156188,0.0009186749,0.0006759034,0.000579678,0.003333415],"category_scores_gemma":[0.0002915157,0.0001859789,0.0002897285,0.0003189009,0.000196282,0.0004471221,0.0004297706,0.0006198534,0.002456515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003654945,"about_ca_system_score_gemma":0.0003272288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001883659,"about_ca_topic_score_gemma":0.0002888512,"domain_scores_codex":[0.9997005,0.00005374121,0.00001355634,0.00004249508,0.0001680864,0.00002168082],"domain_scores_gemma":[0.9998434,0.000022425,0.00003109569,0.00002192099,0.00007198208,0.000009152297],"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":[0.0001803953,0.000107441,0.001145978,0.0004843639,0.00008537953,0.0004805982,0.0002674723,0.03274659,0.6372418,0.06648287,0.004998013,0.2557791],"study_design_scores_gemma":[0.0001064092,0.001862993,0.002539746,0.00007941366,0.0001267414,0.002917276,0.0002397504,0.4207679,0.42666,0.01085907,0.133779,0.00006165449],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007559129,0.0001239717,0.9841815,0.000124249,0.00004186933,0.00007092944,0.00003470894,0.0005047813,0.00735884],"genre_scores_gemma":[0.2888617,0.0005264319,0.6929229,0.0002580748,0.0001265681,0.000317096,0.0003471976,0.00008741831,0.01655271],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003333415,"threshold_uncertainty_score":0.01115137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02349285942512783,"score_gpt":0.1919842648251064,"score_spread":0.1684914053999786,"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."}}