{"id":"W4400276309","doi":"10.1109/wcnc57260.2024.10571276","title":"Rainbow Beams for Wideband mmWave Radar: Beam Training","year":2024,"lang":"en","type":"article","venue":"","topic":"Radio Astronomy Observations and Technology","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Wideband; Rainbow; Radar; Training (meteorology); Remote sensing; Beam (structure); Computer science; Telecommunications; Electronic engineering; Optics; Geology; Engineering; Physics; Meteorology","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":[0.0005259981,0.0005568137,0.0003723806,0.0003078229,0.0002606793,0.0002947342,0.000782187,0.0006847046,0.001795641],"category_scores_gemma":[0.0008774988,0.000278067,0.0003411807,0.0005825204,0.0004134582,0.001054803,0.001024889,0.0008723281,0.0008134197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002407048,"about_ca_system_score_gemma":0.0004050402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004165844,"about_ca_topic_score_gemma":0.0006948737,"domain_scores_codex":[0.9996722,0.00008127981,0.00001380742,0.00006837993,0.0001265206,0.00003783959],"domain_scores_gemma":[0.9995391,0.0001611337,0.00008224838,0.0001085542,0.00007956239,0.00002933731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004279748,0.0001315391,0.002072262,0.0002109312,0.00006662357,0.0001331496,0.0002142071,0.06428702,0.2387353,0.02468462,0.002425468,0.6666108],"study_design_scores_gemma":[0.00005820257,0.000405262,0.001194834,0.00004706035,0.00004384395,0.0004754673,0.00003494458,0.8492106,0.132408,0.005763239,0.01029726,0.00006137119],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0081742,0.0002629794,0.9900593,0.00007186559,0.00003815755,0.00001992152,0.0000224402,0.0003041261,0.001047014],"genre_scores_gemma":[0.2290088,0.0006642246,0.7664193,0.0003105866,0.00007456368,0.00009579208,0.0001252805,0.00005369217,0.003247734],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001795641,"threshold_uncertainty_score":0.006007075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02249693387278758,"score_gpt":0.2545774741729546,"score_spread":0.2320805403001671,"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."}}