{"id":"W4280610782","doi":"10.1109/wcnc51071.2022.9771933","title":"Age of Information-Limited Capacity of Uncoordinated Massive Access Using Massive MIMO","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Wireless Communications and Networking Conference (WCNC)","topic":"Age of Information Optimization","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Telecommunications link; Network packet; Base station; Limiting; Random access; Upper and lower bounds; Channel state information; Computer network; Computer science; MIMO; Transmission (telecommunications); Performance metric; Topology (electrical circuits); Metric (unit); Limit (mathematics); Stochastic geometry; Channel (broadcasting); Mathematics; Wireless; Telecommunications; Statistics; Combinatorics; Engineering; Mathematical analysis","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0005142763,0.0001826422,0.0003387915,0.0003774328,0.0007579977,0.0002101844,0.002550573,0.00007278997,0.00004255146],"category_scores_gemma":[0.00002528186,0.0002047414,0.00006733808,0.001456053,0.0002844037,0.001926958,0.001886719,0.0003854977,8.938138e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001165132,"about_ca_system_score_gemma":0.000221307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002851546,"about_ca_topic_score_gemma":0.00003506223,"domain_scores_codex":[0.9980328,0.0003394721,0.0007997878,0.0001809138,0.0004099745,0.0002370354],"domain_scores_gemma":[0.9965943,0.0002710514,0.001174986,0.001338561,0.0005485942,0.00007257623],"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":[0.0001173005,0.0006061007,0.007471121,0.0003967434,0.0004577802,0.000009628726,0.03377436,0.4688129,0.006258752,0.2771605,0.001133625,0.2038012],"study_design_scores_gemma":[0.0004092876,0.00006154704,0.0004339711,0.00008712457,0.00002099309,0.000008355427,0.0008929782,0.9949502,0.00048583,0.0008158431,0.001616201,0.0002176377],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1414082,0.0001954688,0.8538196,0.0007258288,0.0004729975,0.0005687953,0.00007589634,0.0001149775,0.002618283],"genre_scores_gemma":[0.9777811,0.0005113464,0.02127036,0.0001279869,0.00001344418,0.00006467154,0.0002026825,0.00000897005,0.00001943648],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8363729,"threshold_uncertainty_score":0.8349112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06372987904595094,"score_gpt":0.278300771601083,"score_spread":0.2145708925551321,"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."}}