{"id":"W4387870354","doi":"10.1109/iccworkshops57953.2023.10283500","title":"Active Beamforming for Integrated Sensing and Communication","year":2023,"lang":"en","type":"article","venue":"","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Beamforming; Computer science; Adaptive beamformer; Transmission (telecommunications); Focus (optics); Base station; Electronic engineering; Real-time computing; Telecommunications; 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":[0.0009001709,0.001117022,0.0005944553,0.0004467708,0.0002853078,0.0009698522,0.001008776,0.001041716,0.003019983],"category_scores_gemma":[0.001862285,0.0003958383,0.0004245721,0.0007729443,0.0008535767,0.001401047,0.001012819,0.001026251,0.0009363212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005038698,"about_ca_system_score_gemma":0.0006224411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007045748,"about_ca_topic_score_gemma":0.001052241,"domain_scores_codex":[0.9991099,0.000256602,0.00003601631,0.0001808362,0.0003469201,0.00006973952],"domain_scores_gemma":[0.9991978,0.0004129847,0.00009964199,0.00007611956,0.000180709,0.00003269933],"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":[0.0001962613,0.0001381704,0.0006248741,0.0004952846,0.0001246528,0.000181276,0.0002080085,0.3162749,0.06108318,0.1870712,0.004239185,0.4293629],"study_design_scores_gemma":[0.00002866467,0.0002729213,0.0003006767,0.00007910893,0.00004372386,0.0002143308,0.00005661948,0.9109241,0.01195102,0.06120683,0.01488182,0.00004015757],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0009030177,0.000420357,0.9964674,0.00006829893,0.00003647316,0.00001222127,0.000009738941,0.00006183814,0.002020703],"genre_scores_gemma":[0.4318439,0.003818549,0.5500171,0.0006020677,0.0003799849,0.0003185093,0.0001535169,0.00009446352,0.01277194],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003019983,"threshold_uncertainty_score":0.01010287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0132308457307042,"score_gpt":0.2324226180434367,"score_spread":0.2191917723127325,"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."}}