{"id":"W1493593702","doi":"10.1002/wcm.1170","title":"A pilot‐aided detector for spectrum sensing of Digital Video Broadcasting—Terrestrial signals in cognitive radio networks","year":2011,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Texas A and M University","keywords":"Detector; Computer science; Cognitive radio; Digital Video Broadcasting; Broadcasting (networking); Interference (communication); Digital television; Synchronization (alternating current); Real-time computing; Electronic engineering; Telecommunications; Computer network; Wireless","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005336904,0.0002328396,0.0004491496,0.0002074326,0.0003544616,0.00019369,0.0006442869,0.00006333696,0.000001655758],"category_scores_gemma":[0.0001061359,0.0002499532,0.0001083188,0.0005266632,0.0002409273,0.0003280895,0.0007162566,0.0003003416,4.556291e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004556518,"about_ca_system_score_gemma":0.00006908214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000190882,"about_ca_topic_score_gemma":0.000159955,"domain_scores_codex":[0.9981616,0.0001758331,0.0006481464,0.0004400129,0.0001229821,0.0004514782],"domain_scores_gemma":[0.996613,0.002106118,0.0003637095,0.0006963162,0.00011818,0.0001026593],"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":[0.0001869212,0.0003673868,0.003249667,0.0000346704,0.0001014575,0.00001420513,0.005034779,0.001531576,0.001069654,0.0021472,0.00001566144,0.9862468],"study_design_scores_gemma":[0.001415761,0.0004739874,0.001429841,0.0005675693,0.00002214615,0.00004939723,0.000335485,0.9937002,0.0006872292,0.0009766733,0.00004418967,0.0002975367],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4083906,0.0008485784,0.5896079,0.00003319168,0.0001313167,0.000553777,0.00000546659,0.00007092893,0.0003582797],"genre_scores_gemma":[0.9786404,0.0001537798,0.02100179,0.00002899845,0.0001197037,0.00001441587,0.00001258259,0.00002383216,0.000004517593],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9921686,"threshold_uncertainty_score":0.9999953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05390720159250712,"score_gpt":0.277242713705148,"score_spread":0.2233355121126409,"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."}}