{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004706965,0.0009210233,0.0006106622,0.0004350444,0.0003013021,0.0009533478,0.0006537146,0.001085158,0.01135263],"category_scores_gemma":[0.001368421,0.0003237395,0.0005069671,0.001036204,0.0002864512,0.0008551336,0.0007130261,0.001100096,0.00466017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003819304,"about_ca_system_score_gemma":0.0009353265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001328739,"about_ca_topic_score_gemma":0.002646901,"domain_scores_codex":[0.999606,0.0001277091,0.00001843549,0.00005452069,0.0001477801,0.00004561274],"domain_scores_gemma":[0.9996878,0.0001289861,0.00001536176,0.00004142367,0.0001119599,0.0000145895],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002770328,0.0001006793,0.0004378592,0.0002319325,0.00009953704,0.00009901499,0.00007958346,0.3875294,0.0217668,0.06953597,0.02291166,0.4969305],"study_design_scores_gemma":[0.00002744709,0.00007088714,0.000222996,0.00003833079,0.0000190533,0.0001044039,0.00002114446,0.9612038,0.004858266,0.02319067,0.01022379,0.00001925038],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002224091,0.0003836534,0.9916603,0.0002318428,0.0001246768,0.00002499622,0.0001071263,0.0002252186,0.005018142],"genre_scores_gemma":[0.07720826,0.0009957588,0.9033489,0.0003979005,0.0001635969,0.00021875,0.0006107108,0.0001529688,0.0169031],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01135263,"threshold_uncertainty_score":0.03797835,"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."}}