{"id":"W4200471885","doi":"10.1109/iotais53735.2021.9628733","title":"Narrow Band Digital Filtering Approach for CR-IoT Node with Carrier Aggregation Using Zero/Pole Placement","year":2021,"lang":"en","type":"article","venue":"","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Infinite impulse response; Computer science; Cognitive radio; Orthogonal frequency-division multiplexing; Electronic engineering; Bandwidth (computing); Multiplexing; Algorithm; Digital filter; Telecommunications; Wireless; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.00008386954,0.0001527742,0.000163409,0.00004157205,0.0002269783,0.0006393297,0.0001198327,0.0000404059,0.00001019367],"category_scores_gemma":[0.00002069771,0.0001350258,0.00006196825,0.0002741019,0.00002830752,0.0003828039,0.00008992844,0.00007453562,9.611349e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008521452,"about_ca_system_score_gemma":0.0001359096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008996008,"about_ca_topic_score_gemma":0.00001623976,"domain_scores_codex":[0.9988031,0.00002146444,0.0001641437,0.0004721422,0.0002154503,0.0003237477],"domain_scores_gemma":[0.9993431,0.00006203638,0.00005934148,0.0002779909,0.0001708458,0.00008670248],"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":[0.0003748431,0.0008095981,0.006105238,0.0004315628,0.0006819963,0.0007041948,0.005744411,0.6034226,0.08219317,0.02416934,0.003051851,0.2723111],"study_design_scores_gemma":[0.0007181403,0.00005834961,0.00008125199,0.00005569836,0.00001563597,0.0002234185,0.0001467669,0.9375083,0.05970442,0.0003457626,0.0008683777,0.0002738087],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07428939,0.0001147935,0.9189683,0.0001451442,0.0001108915,0.0001535272,0.000008693684,0.00007202219,0.006137272],"genre_scores_gemma":[0.8021621,0.000001485302,0.1968395,0.000180199,0.000106399,0.000005098136,0.00002186618,0.00001501208,0.0006683586],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7278727,"threshold_uncertainty_score":0.6165071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02186564336383955,"score_gpt":0.2331810495518084,"score_spread":0.2113154061879688,"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."}}