{"id":"W4285026069","doi":"10.21203/rs.3.rs-1594660/v1","title":"Beamforming Based Algorithm for 5G Applications","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Beamforming; Algorithm; Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008694341,0.0002136975,0.0002582801,0.0004946106,0.0003630345,0.00008568085,0.0004781293,0.0002070382,0.0001641771],"category_scores_gemma":[0.00007191306,0.0002582902,0.0001363082,0.0004688844,0.00003788135,0.00008196403,0.0002073917,0.001071419,0.00002381836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008710196,"about_ca_system_score_gemma":0.0001960466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002776239,"about_ca_topic_score_gemma":0.00000733531,"domain_scores_codex":[0.9980734,0.00008495607,0.0003219238,0.0004419887,0.0005277263,0.0005500158],"domain_scores_gemma":[0.9983027,0.0003880398,0.0000498027,0.0007676053,0.0003684954,0.0001233677],"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":[0.000002729186,0.00002362353,0.000008754895,0.001837089,0.00002510973,0.000001390074,0.00007345654,0.9041184,0.00006542543,0.0002043146,0.001028645,0.09261111],"study_design_scores_gemma":[0.0002183621,0.00003209446,0.00000462676,0.0001503828,0.000006674605,7.561624e-7,0.0002161873,0.8869029,0.0005369794,0.0009431625,0.1107496,0.0002382651],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00001183625,0.001483614,0.9892024,0.00004742448,0.0002678569,0.004416461,0.0007093765,0.0005541156,0.003306881],"genre_scores_gemma":[0.02575834,0.0005691787,0.8843285,0.0000216272,0.00143199,0.07872721,0.006571944,0.000556862,0.002034316],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1097209,"threshold_uncertainty_score":0.9999869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04667343473361191,"score_gpt":0.37792984344318,"score_spread":0.3312564087095681,"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."}}