{"id":"W2989160550","doi":"10.23919/eusipco.2019.8902787","title":"Efficient Distributed Processing for Large Scale MIMO Detection","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"MIMO; Computer science; Algorithm; Baseband; Computational complexity theory; Spectral efficiency; Bandwidth (computing); Inversion (geology); Signal processing; Channel (broadcasting); Computer engineering; 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":[0.0006016243,0.0004649271,0.0004452101,0.0001760132,0.0002512459,0.0005216139,0.0004690176,0.0005182306,0.001173866],"category_scores_gemma":[0.001565288,0.000204543,0.0002943307,0.0004052262,0.0005605243,0.0006641697,0.0006488888,0.0009208596,0.0003304582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000332629,"about_ca_system_score_gemma":0.0007399702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006370856,"about_ca_topic_score_gemma":0.001201451,"domain_scores_codex":[0.9996717,0.0001050067,0.00001241068,0.00006766128,0.0001153785,0.00002791947],"domain_scores_gemma":[0.9994583,0.0002518654,0.00006545873,0.0001011842,0.0001039285,0.00001938408],"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":[0.0001507538,0.00006446103,0.0003876484,0.0001142748,0.0000461722,0.00006774484,0.000103401,0.783641,0.0255577,0.04351266,0.002079153,0.144275],"study_design_scores_gemma":[0.000009478997,0.00003836878,0.00008340496,0.00000321757,0.000002616265,0.00002110828,0.000007586771,0.9893748,0.003095655,0.00648228,0.0008771038,0.000004302699],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004135776,0.00006303473,0.9949449,0.00005833836,0.00001822462,0.00000859156,0.00001012783,0.0001104605,0.0006506784],"genre_scores_gemma":[0.5079314,0.0002260778,0.4885585,0.0001312646,0.00007930645,0.0001011613,0.0000959458,0.00004328652,0.002833099],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001173866,"threshold_uncertainty_score":0.003926933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004553563310512061,"score_gpt":0.2111171510230359,"score_spread":0.2065635877125238,"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."}}