{"id":"W2097523434","doi":"10.1109/icecs.1999.813200","title":"Adaptive beamforming in CDPD mobile end systems","year":2003,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Adaptive beamformer; Beamforming; Computer science; Digital radio; Channel (broadcasting); Antenna diversity; Electronic engineering; Antenna (radio); Smart antenna; Mobile telephony; Telecommunications; Mobile radio; Engineering; Directional antenna","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":[0.000707574,0.00007704354,0.0001153915,0.0001396284,0.00007363577,0.0001290033,0.001058047,0.00004616928,0.00003403591],"category_scores_gemma":[0.00003129944,0.00006896028,0.00002298468,0.0006588128,0.00003400044,0.0004288462,0.0002665997,0.0001967759,0.00008859091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009679713,"about_ca_system_score_gemma":0.00009014097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001698444,"about_ca_topic_score_gemma":0.00007123922,"domain_scores_codex":[0.9987561,0.0002459852,0.0002031773,0.0002181751,0.0002765552,0.0003000636],"domain_scores_gemma":[0.9987233,0.0002527591,0.00003762741,0.0008488843,0.00006530698,0.00007210676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002283459,0.00009981862,0.0008063568,0.000008626176,0.000008397157,0.00001005484,0.0007507358,0.04657873,0.0001570548,0.9179189,0.0007922753,0.0328668],"study_design_scores_gemma":[0.0003105215,0.00007979736,0.0002708655,0.00003826449,4.688579e-7,0.0000184552,0.0005480456,0.9623694,0.0006960809,0.0008281474,0.03465611,0.0001837693],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009320525,0.001167922,0.8105818,0.0001043011,0.0001897705,0.0005097133,3.907444e-7,0.0001473106,0.1779782],"genre_scores_gemma":[0.9691179,0.00005787152,0.02890256,0.00003554731,0.00001109405,0.0001394768,5.037447e-7,0.000005880431,0.001729127],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9597974,"threshold_uncertainty_score":0.2812119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03105859594786642,"score_gpt":0.2806797359747294,"score_spread":0.249621140026863,"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."}}