{"id":"W1487059901","doi":"10.1002/2014rs005544","title":"Applications of trimode waveguide feeds in adaptive virtual array antennas","year":2015,"lang":"en","type":"article","venue":"Radio Science","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Reflector (photography); Cassegrain antenna; Aperture (computer memory); Optics; Waveguide; Parabolic reflector; Offset dish antenna; Antenna (radio); Periscope antenna; Mode (computer interface); Feed horn; Parabolic antenna; Beam waveguide antenna; Radiation; Fan-beam antenna; Antenna feed; Physics; Radiation pattern; Computer science; Acoustics; Engineering; Electrical engineering; Light source","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":[0.0005306746,0.0001001512,0.0001493851,0.0002788248,0.00002643182,0.0000164363,0.0003271201,0.00003409913,0.000002641151],"category_scores_gemma":[0.00006618717,0.00009932134,0.00002554424,0.001036672,0.0002005575,0.0001788086,0.00001923356,0.0001023622,0.00001785951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001541168,"about_ca_system_score_gemma":0.0001172477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000045884,"about_ca_topic_score_gemma":0.000008389126,"domain_scores_codex":[0.9991212,0.000007758788,0.0002147539,0.0001746676,0.0002265386,0.0002550459],"domain_scores_gemma":[0.9994904,0.0000296553,0.0000223822,0.0002477834,0.00007579326,0.0001340032],"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":[0.00001688718,0.00006365857,0.0004421283,0.00003358413,0.00001540599,0.000005544558,0.00365867,0.2695207,0.6984116,0.01376623,0.0008667432,0.01319881],"study_design_scores_gemma":[0.0008574303,0.0001489629,0.003178196,0.0001049181,0.0000108435,0.00004199801,0.001302043,0.7119532,0.2739862,0.001313752,0.006559883,0.0005425922],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2244825,0.0006617396,0.7593886,0.00004067255,0.0002874658,0.0002224546,0.00001124465,0.0001916937,0.01471367],"genre_scores_gemma":[0.9926404,0.00001845252,0.007136249,0.000006568522,0.00004543873,0.00001779622,9.934182e-7,0.0000124068,0.0001217351],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7681578,"threshold_uncertainty_score":0.4050207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01668583795529599,"score_gpt":0.2315368800392537,"score_spread":0.2148510420839577,"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."}}