{"id":"W1987613950","doi":"10.1109/t-wc.2008.070675","title":"Beamforming with limited feedback in amplify-and-forward cooperative networks - [transactions letters]","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Nortel (Canada)","funders":"","keywords":"Beamforming; Codebook; Computer science; Relay; Selection (genetic algorithm); Outage probability; Signal-to-noise ratio (imaging); Algorithm; Decoding methods; Control theory (sociology); Telecommunications; Fading; Artificial intelligence","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":[0.0009661585,0.0003576164,0.000469396,0.0002781092,0.0002590365,0.0007905347,0.0003492627,0.0006915158,0.002094865],"category_scores_gemma":[0.002865076,0.000313317,0.0001370554,0.0006796048,0.0006465061,0.001037126,0.0003997739,0.0004317025,0.0008420728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005082861,"about_ca_system_score_gemma":0.0003857893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005582631,"about_ca_topic_score_gemma":0.000864154,"domain_scores_codex":[0.9994449,0.0002455333,0.00002825,0.0000662441,0.0001856318,0.00002941168],"domain_scores_gemma":[0.9985876,0.0009048412,0.0001127003,0.0001189946,0.0002461554,0.00002962832],"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":[0.0003564756,0.0000645828,0.00105641,0.0004038821,0.00003999611,0.0003586267,0.0002678073,0.5394717,0.04060791,0.1797577,0.009541416,0.2280734],"study_design_scores_gemma":[0.0000325445,0.0001666255,0.000283094,0.00004261788,0.00001391603,0.0002052874,0.0000382438,0.9279628,0.006094321,0.05776379,0.007370595,0.0000260717],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02373227,0.002277388,0.9682232,0.0006041683,0.0001467878,0.00003284889,0.00004239266,0.0002458196,0.004695252],"genre_scores_gemma":[0.7720457,0.004646691,0.2129939,0.000354102,0.0005076788,0.0001499651,0.0001197989,0.00007424902,0.009107902],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002094865,"threshold_uncertainty_score":0.007008016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03863103637690535,"score_gpt":0.257948317003578,"score_spread":0.2193172806266727,"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."}}