{"id":"W2909678444","doi":"10.1109/apusncursinrsm.2018.8608768","title":"Printed W-Band Luneburg Lens for Beamforming Applications","year":2018,"lang":"en","type":"article","venue":"","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Luneburg lens; Lens (geology); Printed circuit board; Optics; Refractive index; Materials science; Substrate (aquarium); Planar; Optoelectronics; Computer science; Physics; Engineering; Electrical 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":[0.00007343333,0.0006160658,0.000270928,0.0003029067,0.0002148334,0.0006984377,0.0004300434,0.0005374175,0.003608112],"category_scores_gemma":[0.0001377199,0.0002277189,0.0002597539,0.0003497209,0.000168573,0.0006273031,0.0002373267,0.0003100185,0.002224437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004263527,"about_ca_system_score_gemma":0.0002280716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004045443,"about_ca_topic_score_gemma":0.0009988144,"domain_scores_codex":[0.9998798,0.0000140143,0.000005395245,0.0000281787,0.00005154779,0.00002111961],"domain_scores_gemma":[0.9999015,0.00001742339,0.00002916377,0.00001360959,0.00002671946,0.00001156294],"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":[0.0001010051,0.00003048717,0.0002963603,0.0001285365,0.00002090578,0.0003128175,0.00002950505,0.001692677,0.9196168,0.004524065,0.001604482,0.07164241],"study_design_scores_gemma":[0.00003274635,0.0003878838,0.001134884,0.00001972649,0.00002469155,0.0009309286,0.00004672116,0.02352994,0.9433851,0.0009853654,0.02946637,0.00005557336],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.181144,0.00428053,0.7465904,0.0007352409,0.00042863,0.0001890933,0.0004570216,0.005737029,0.06043813],"genre_scores_gemma":[0.5216609,0.001552556,0.4532178,0.000252191,0.0001326616,0.0001219357,0.000370922,0.0001366919,0.02255439],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003608112,"threshold_uncertainty_score":0.0120703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01239431579226449,"score_gpt":0.2248988810713683,"score_spread":0.2125045652791038,"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."}}