{"id":"W2884916340","doi":"10.1109/tap.2018.2860119","title":"Printed <inline-formula> <tex-math notation=\"LaTeX\">$W$ </tex-math> </inline-formula>-Band Multibeam Antenna With Luneburg Lens-Based Beamforming Network","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Antennas and Propagation","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Fonds de recherche du Québec – Nature et technologies","keywords":"Luneburg lens; Beamwidth; Optics; Lens (geology); Materials science; Beamforming; Directional antenna; Bandwidth (computing); Antenna (radio); Refractive index; Electrical engineering; Physics; Engineering; Telecommunications","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":[0.000144512,0.000954332,0.0005347181,0.0004160421,0.0002271464,0.001876044,0.000797616,0.0009113242,0.2000969],"category_scores_gemma":[0.0005952275,0.0004326672,0.000579348,0.000729567,0.0004157186,0.001049953,0.000826249,0.0007474041,0.11646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004840447,"about_ca_system_score_gemma":0.0004465528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007717921,"about_ca_topic_score_gemma":0.001209986,"domain_scores_codex":[0.9997985,0.00001962928,0.00001080934,0.00004519735,0.00009369619,0.0000322321],"domain_scores_gemma":[0.999696,0.00005698545,0.00004708405,0.00008639848,0.00008835251,0.00002530063],"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":[0.000252347,0.0001687839,0.001171108,0.001375585,0.00009790641,0.001555515,0.0001655084,0.04347907,0.4172591,0.05594837,0.2789609,0.1995658],"study_design_scores_gemma":[0.000089445,0.0001519208,0.001325276,0.0001296285,0.00002829602,0.001077648,0.0001374657,0.1941233,0.2164507,0.009059088,0.5773231,0.0001040674],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04909867,0.001134183,0.4974743,0.001675895,0.002741872,0.0002253316,0.01045718,0.02640226,0.4107902],"genre_scores_gemma":[0.3618563,0.002579465,0.3348379,0.00126589,0.00038786,0.0005141786,0.01792227,0.0165196,0.2641165],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2000969,"threshold_uncertainty_score":0.6693908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01124369929756123,"score_gpt":0.2140911633731221,"score_spread":0.2028474640755609,"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."}}