{"id":"W2102570242","doi":"10.1109/wcnc.2011.5779431","title":"Beamforming for physical layer multicasting","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Multicast; Beamforming; Physical layer; Computer science; Block (permutation group theory); Channel (broadcasting); Dimension (graph theory); Topology (electrical circuits); Computer network; Algorithm; Wireless; Telecommunications; Mathematics; Combinatorics","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":[0.0003947512,0.0007499848,0.0003806888,0.0002949538,0.0004510193,0.0006580906,0.000581095,0.0005640179,0.003722018],"category_scores_gemma":[0.00108049,0.0002355669,0.0002767312,0.0005956857,0.0004800057,0.0007480095,0.0008720285,0.0005801498,0.001710344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004069244,"about_ca_system_score_gemma":0.000681973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003557044,"about_ca_topic_score_gemma":0.0007477553,"domain_scores_codex":[0.9995046,0.0001987585,0.00002370122,0.00006834591,0.0001459753,0.00005863457],"domain_scores_gemma":[0.9996891,0.0001037696,0.00002995511,0.00006352537,0.00009646904,0.0000173192],"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":[0.0001730053,0.00006040937,0.0004556626,0.0002350668,0.00003976213,0.0001608709,0.0001409755,0.1643548,0.110751,0.3814876,0.009094394,0.3330464],"study_design_scores_gemma":[0.00004728105,0.0002031897,0.0003053123,0.0000583578,0.00002689534,0.0002693372,0.00005511207,0.8532915,0.02168599,0.1003366,0.02367598,0.00004441444],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001765766,0.0001563303,0.9938929,0.0001098057,0.00004634513,0.00002322798,0.00003464198,0.000120345,0.003850745],"genre_scores_gemma":[0.2929726,0.001358282,0.6967525,0.0003989679,0.000219864,0.0004730701,0.0002415023,0.00008369453,0.007499493],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003722018,"threshold_uncertainty_score":0.01245135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04473660679985603,"score_gpt":0.2520938159192475,"score_spread":0.2073572091193915,"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."}}