{"id":"W4392745880","doi":"10.1109/peeic59336.2023.10450302","title":"Cognitive Radio Integration in MIMO Systems for Dynamic Spectrum Access and Management","year":2023,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Cognitive radio; MIMO; Computer science; Radio frequency; 3G MIMO; Spectrum management; Spectrum (functional analysis); Computer network; Electronic engineering; Telecommunications; Wireless; Engineering; Physics; Channel (broadcasting)","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":[0.0003848196,0.0004671931,0.0003166678,0.0002226075,0.000301832,0.0008130082,0.0004385457,0.0004242581,0.001522184],"category_scores_gemma":[0.0008376238,0.0001589966,0.0003356935,0.000275554,0.0002890376,0.0004964321,0.0005373683,0.0006558944,0.0003796506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003029272,"about_ca_system_score_gemma":0.0004360579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000627458,"about_ca_topic_score_gemma":0.001830805,"domain_scores_codex":[0.9996996,0.00008044532,0.000009689285,0.00004319347,0.0001170871,0.00005011301],"domain_scores_gemma":[0.9996595,0.0001583071,0.00003803699,0.00004145637,0.00008286313,0.0000198749],"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":[0.0002469458,0.0002668186,0.002191188,0.0003977922,0.0002263691,0.001099624,0.0002992516,0.3498825,0.1762338,0.1976124,0.003861464,0.267682],"study_design_scores_gemma":[0.00001956584,0.0003750267,0.0008983688,0.00004277209,0.00006810157,0.0006441115,0.00005899785,0.9421611,0.01762412,0.02647297,0.01159799,0.00003682202],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02878454,0.001979984,0.952695,0.0002944801,0.0002202834,0.00005081368,0.00003426085,0.0002631694,0.01567737],"genre_scores_gemma":[0.8651154,0.001630553,0.1283985,0.0002320805,0.0002065991,0.0000674892,0.00003704061,0.00001655731,0.004295879],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001522184,"threshold_uncertainty_score":0.005092204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05139643082646125,"score_gpt":0.3569353465549361,"score_spread":0.3055389157284749,"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."}}