{"id":"W2148042435","doi":"10.1109/infcomw.2011.5928808","title":"A generic cognitive radio based on commodity hardware","year":2011,"lang":"en","type":"article","venue":"","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Cognitive radio; White spaces; Computer science; Computer network; Network packet; Router; Spectrum management; Wireless; 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":[0.0003678034,0.0006854319,0.0003791949,0.0005134345,0.0003849035,0.001461894,0.002169121,0.0007435498,0.01011623],"category_scores_gemma":[0.0007024807,0.0002772479,0.0004385624,0.0004978556,0.0005548912,0.00120153,0.001044973,0.0008162203,0.002919234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000599305,"about_ca_system_score_gemma":0.0006592476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001356386,"about_ca_topic_score_gemma":0.001290592,"domain_scores_codex":[0.9994887,0.00005875959,0.00001836262,0.0001088581,0.0002447079,0.00008057837],"domain_scores_gemma":[0.999728,0.00004788793,0.00003024249,0.00009816563,0.00005574165,0.00003980816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001129811,0.0004283118,0.002981172,0.001311499,0.0002457358,0.001560696,0.0003988678,0.06412779,0.201985,0.2945736,0.02895574,0.4023017],"study_design_scores_gemma":[0.0003782288,0.002434991,0.004395581,0.0003229509,0.0003947161,0.002949985,0.0001945491,0.3848625,0.1077802,0.04743302,0.4486346,0.0002187414],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0457819,0.001029015,0.8667377,0.0004627641,0.0006846686,0.0004570939,0.0003243016,0.006521398,0.07800117],"genre_scores_gemma":[0.4546451,0.001065375,0.5022963,0.0007251739,0.0001789678,0.0003613897,0.0003760329,0.0002518983,0.04009978],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01011623,"threshold_uncertainty_score":0.03384215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04294079453177465,"score_gpt":0.2336192007118254,"score_spread":0.1906784061800507,"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."}}