{"id":"W2004826811","doi":"10.1007/s11265-014-0928-6","title":"Recent Advances in Design and Implementation of Signal Processing Systems","year":2014,"lang":"en","type":"article","venue":"Journal of Signal Processing Systems","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Digital signal processing; Detector; Scalability; Signal processing; Efficient energy use; Baseband; Computer architecture; MIMO; Cognitive radio; Wireless; Embedded system; Electronic engineering; Computer hardware; Telecommunications; Channel (broadcasting); Bandwidth (computing); Engineering; Electrical 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":[0.002717049,0.0002037024,0.0005701049,0.0003658262,0.0001519929,0.0004923975,0.0003059529,0.0000717821,0.000001826233],"category_scores_gemma":[0.00002075968,0.0001675872,0.00005021888,0.0005840457,0.00006212646,0.001683245,0.00004249346,0.0002500375,3.756952e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001225146,"about_ca_system_score_gemma":0.0002984887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001929513,"about_ca_topic_score_gemma":0.000006084499,"domain_scores_codex":[0.9971391,0.0004204115,0.001194083,0.0002750821,0.0006396479,0.0003317071],"domain_scores_gemma":[0.9973133,0.0002344816,0.001594351,0.00009178907,0.0006463566,0.0001197785],"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":[0.00005041921,0.00004567149,0.001315916,0.0006139477,0.0000162981,0.00002527017,0.001231491,0.03190813,0.00322343,0.0004216347,0.00002771312,0.9611201],"study_design_scores_gemma":[0.001225453,0.0006382975,0.0007429264,0.0038511,0.00003350701,0.0007303764,0.001719551,0.9870282,0.001312258,0.0005615173,0.001871067,0.0002857863],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02085377,0.05491814,0.9234773,0.0001043145,0.0002326173,0.000261144,4.737636e-7,0.00001910726,0.0001331464],"genre_scores_gemma":[0.9930767,0.0008284902,0.00567014,0.00002180279,0.0003765151,0.000004079452,3.801658e-7,0.00001589524,0.00000593227],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.972223,"threshold_uncertainty_score":0.6834007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01831180247194044,"score_gpt":0.2789184222435946,"score_spread":0.2606066197716542,"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."}}