{"id":"W1491134920","doi":"10.1109/pimrc.2001.965483","title":"Adaptive spatial and temporal correlation control in CDMA communication systems","year":2002,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Beamforming; Transmitter power output; Computer science; Transmit diversity; Power control; Telecommunications link; Minimum mean square error; Code division multiple access; Base station; Power (physics); Control theory (sociology); Electronic engineering; Telecommunications; Engineering; Transmitter; Fading; Mathematics; Control (management); Estimator; Decoding methods","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":[0.0006202177,0.0005137177,0.0003829576,0.000301334,0.0004416319,0.000740554,0.0006625275,0.0005762947,0.00071613],"category_scores_gemma":[0.001745373,0.0002489024,0.0002110725,0.0005803723,0.0008110555,0.0005365096,0.0004587662,0.0005501424,0.0001429731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006778005,"about_ca_system_score_gemma":0.0008686193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004062715,"about_ca_topic_score_gemma":0.004542192,"domain_scores_codex":[0.999471,0.0001510266,0.0000286316,0.00009590958,0.0001846142,0.00006887282],"domain_scores_gemma":[0.9994204,0.000286772,0.0000962608,0.00004519059,0.000130047,0.00002131172],"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":[0.000150775,0.00005748136,0.0007118416,0.00009597973,0.00003904997,0.0001350399,0.00008811653,0.8177304,0.01018854,0.04979447,0.001102579,0.1199057],"study_design_scores_gemma":[0.0000112986,0.00004527706,0.0001414286,0.000003535011,0.000007394175,0.00003094785,0.00000729462,0.9930637,0.001542206,0.004611041,0.0005289613,0.000006915476],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02356391,0.001172215,0.9721105,0.0001954972,0.00006264534,0.00003314565,0.00001841506,0.0001466407,0.002697018],"genre_scores_gemma":[0.9129688,0.001131295,0.08230375,0.0001113698,0.000119221,0.0001144076,0.00003408399,0.00001680134,0.00320022],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004062715,"threshold_uncertainty_score":0.008078158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0353865100843665,"score_gpt":0.252908528331095,"score_spread":0.2175220182467285,"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."}}