{"id":"W2113163244","doi":"10.1109/twc.2007.05279","title":"Optimized Distributed Space-Time Filtering","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Fading; Node (physics); Code division multiple access; Space–time code; Synchronization (alternating current); Antenna diversity; Diversity gain; Transmission (telecommunications); Channel (broadcasting); Space-division multiple access; Algorithm; Equalization (audio); Imperfect; Wireless; Computer network; Base station; Telecommunications","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":[0.0006628793,0.0005958547,0.0007207834,0.0003177153,0.0002625718,0.0008500532,0.0004733502,0.0008794098,0.001614131],"category_scores_gemma":[0.001714628,0.0002308996,0.000398904,0.0005346477,0.0004691166,0.0007732571,0.0004935493,0.0004543224,0.000459911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007345242,"about_ca_system_score_gemma":0.001106831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001300102,"about_ca_topic_score_gemma":0.001503868,"domain_scores_codex":[0.9994647,0.0001383075,0.00002554894,0.00009195248,0.0002050981,0.00007448997],"domain_scores_gemma":[0.9993018,0.0002852986,0.00008688071,0.0001050979,0.00019396,0.00002699992],"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":[0.0002198237,0.00004662264,0.000463908,0.00005913608,0.00003631737,0.00003590015,0.00003707466,0.8321348,0.0140033,0.03770579,0.001331089,0.1139262],"study_design_scores_gemma":[0.00001860046,0.00003093841,0.00008772226,0.000003020574,0.000005690192,0.00001670899,0.000004808262,0.9918703,0.002844422,0.004404964,0.0007076955,0.00000510156],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008400275,0.00006274307,0.9900116,0.00005573282,0.00002053701,0.000008890072,0.00002092292,0.0000851657,0.00133412],"genre_scores_gemma":[0.6032331,0.000200987,0.3910371,0.0000914485,0.00005502428,0.00009045198,0.0001950434,0.00005037648,0.005046518],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001614131,"threshold_uncertainty_score":0.005399764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01871814403709352,"score_gpt":0.2667635022157295,"score_spread":0.248045358178636,"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."}}