{"id":"W2903281573","doi":"10.1109/tap.2018.2883574","title":"Millimeter-Wave Low-Profile Continuous Transverse Stub Arrays With Novel Linear Source Generators","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Antennas and Propagation","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Polytechnique Montréal","funders":"Engineering and Physical Sciences Research Council; Natural Science Foundation of Zhejiang Province; Ningbo University; National Natural Science Foundation of China","keywords":"Stub (electronics); Materials science; Transverse plane; Broadband; Extremely high frequency; Optics; Antenna array; Millimeter; Optoelectronics; Antenna (radio); Acoustics; Computer science; Physics; Electrical engineering; Telecommunications; Engineering","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":[0.0001350394,0.0004553033,0.000252763,0.000285681,0.00008986852,0.0003187271,0.0006331982,0.000304458,0.001223865],"category_scores_gemma":[0.0002613141,0.0002073536,0.0002193335,0.0003632104,0.0002394744,0.00036325,0.0003745893,0.0002411337,0.0008332247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003008799,"about_ca_system_score_gemma":0.0001596902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000108936,"about_ca_topic_score_gemma":0.0002993346,"domain_scores_codex":[0.9998189,0.00003019993,0.000007735565,0.00004162684,0.00007853678,0.00002309638],"domain_scores_gemma":[0.99964,0.00006553729,0.0001282029,0.00006338392,0.00006286529,0.0000399219],"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":[0.000194194,0.00005940808,0.001536303,0.00009091036,0.00002143428,0.0001817827,0.00009032909,0.005559129,0.9433047,0.002880934,0.0008353108,0.04524539],"study_design_scores_gemma":[0.00009066972,0.0008629767,0.00264618,0.00001150925,0.00002988448,0.0007237356,0.00005151219,0.09680574,0.8840954,0.0008086958,0.01382628,0.00004749564],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5330352,0.0003347043,0.4544288,0.0002094272,0.000110607,0.00008078726,0.0002256596,0.002535358,0.009039465],"genre_scores_gemma":[0.8089234,0.0001196882,0.1853009,0.00005492251,0.00005630577,0.000072734,0.0002192783,0.0001502286,0.005102513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001223865,"threshold_uncertainty_score":0.004094243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01243968763846933,"score_gpt":0.1941871201016602,"score_spread":0.1817474324631909,"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."}}