{"id":"W4404520223","doi":"10.1109/twc.2024.3496393","title":"Active Sensing for Multiuser Beam Tracking With Reconfigurable Intelligent Surface","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Optical Wireless Communication Technologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Tracking (education); Beam (structure); Telecommunications; Optics; Physics","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":[0.0004859165,0.0006080637,0.0006072674,0.0002620814,0.0002191213,0.000568341,0.0008635893,0.0007323191,0.0008538797],"category_scores_gemma":[0.001338665,0.0003343012,0.000505175,0.0003181815,0.0006873973,0.0009412595,0.0006341352,0.0009325778,0.0001811621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005567879,"about_ca_system_score_gemma":0.0004065105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003327696,"about_ca_topic_score_gemma":0.002590303,"domain_scores_codex":[0.9996933,0.00008173758,0.0000115549,0.00009140758,0.00007677759,0.00004534805],"domain_scores_gemma":[0.9995477,0.0002574126,0.00005984404,0.00004369182,0.00007109116,0.00002026637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009049072,0.00004474343,0.0006960233,0.00004773772,0.00004321785,0.00007822392,0.00007267189,0.9259542,0.008481387,0.0065992,0.000452554,0.05743948],"study_design_scores_gemma":[0.000001479347,0.00001250161,0.00004367135,0.000001038681,0.000002081098,0.000005475371,0.000002351649,0.9985611,0.0004045533,0.0008696058,0.00009418214,0.000002092011],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02222015,0.0003109093,0.9756569,0.0001169197,0.00003647898,0.00001170676,0.00002053804,0.0002632744,0.0013631],"genre_scores_gemma":[0.924862,0.0002145313,0.07208444,0.0001336632,0.00003799834,0.00004372222,0.00005761819,0.00003689429,0.002529169],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003327696,"threshold_uncertainty_score":0.006616652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03822423442324303,"score_gpt":0.2759726263739224,"score_spread":0.2377483919506794,"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."}}