{"id":"W2971055167","doi":"10.1109/spawc.2019.8815446","title":"Optimal Multi-group Multicast Beamforming Structure","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Multicast; Beamforming; Computer science; Mathematical optimization; Algorithm; Mathematics; Computer network; 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":[0.0007074168,0.0007339637,0.0007782954,0.0004530796,0.0005036669,0.0006085908,0.0007424658,0.00121257,0.002576955],"category_scores_gemma":[0.002106091,0.0002928335,0.0004474816,0.0005647956,0.0004725546,0.00120662,0.0009230377,0.0007180568,0.0007866949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006174963,"about_ca_system_score_gemma":0.0008795925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006967115,"about_ca_topic_score_gemma":0.0008665625,"domain_scores_codex":[0.9995195,0.0001758744,0.00001741289,0.00007679742,0.0001388875,0.00007157446],"domain_scores_gemma":[0.9995634,0.0001880765,0.00005517428,0.00004977114,0.000114907,0.00002876434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001849674,0.00008465317,0.0005783968,0.0001153114,0.000041907,0.0001102145,0.0001051521,0.7707121,0.01527266,0.08062321,0.004608983,0.1275625],"study_design_scores_gemma":[0.00001836248,0.00004956135,0.00008192478,0.000008178415,0.000006238339,0.00004734191,0.00002487898,0.974757,0.00245671,0.02169457,0.0008477904,0.000007401311],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008556003,0.00007966055,0.9886914,0.0001606783,0.00002309811,0.00002735961,0.00003924402,0.00008252053,0.002340017],"genre_scores_gemma":[0.475342,0.0002457257,0.5198127,0.0002056399,0.0001037471,0.0002352038,0.0002081861,0.00006094236,0.003785849],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002576955,"threshold_uncertainty_score":0.008620739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005897433730112127,"score_gpt":0.2115424530116446,"score_spread":0.2056450192815325,"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."}}