{"id":"W4405487784","doi":"10.1109/tap.2024.3515289","title":"Wide-Angle Direction Finding With a Spatially Dispersive Reconfigurable Leaky Wave Antenna","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Antennas and Propagation","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Optics; Directional antenna; Reconfigurable antenna; Leaky wave antenna; Antenna (radio); Physics; Dipole antenna; Microstrip antenna; Computer science; Telecommunications; Coaxial antenna","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":[0.0002435183,0.0006196792,0.0004315687,0.0003441195,0.0001367892,0.0005260106,0.0009202912,0.0004456199,0.0009054914],"category_scores_gemma":[0.0005792012,0.0002737655,0.0004451562,0.0004039099,0.0002515304,0.0008857479,0.0006423548,0.0003494411,0.0005719278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000225497,"about_ca_system_score_gemma":0.0003326217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003421011,"about_ca_topic_score_gemma":0.0004807493,"domain_scores_codex":[0.9997748,0.00005515459,0.000013415,0.00005202893,0.00008726453,0.00001734556],"domain_scores_gemma":[0.999603,0.00009516779,0.0001063958,0.0001150392,0.0000600915,0.00002031822],"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":[0.0008202149,0.0001824172,0.003776207,0.000164686,0.0001606196,0.0005533473,0.0002955846,0.1058072,0.6440936,0.01156453,0.001389891,0.2311918],"study_design_scores_gemma":[0.00009023702,0.0003307123,0.001095056,0.00001557774,0.00005431554,0.0006693071,0.00006475554,0.7791801,0.2124096,0.001837211,0.004186766,0.00006640279],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07239412,0.00006455277,0.9247112,0.00007369486,0.00002153926,0.0000341857,0.00005160494,0.0008093099,0.001839852],"genre_scores_gemma":[0.3720281,0.00008812761,0.6255684,0.00006236645,0.0000142717,0.00009059591,0.0001236901,0.00004084377,0.001983506],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0009202912,"threshold_uncertainty_score":0.003029168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01284383384501648,"score_gpt":0.2020895164687034,"score_spread":0.1892456826236869,"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."}}