{"id":"W2167682053","doi":"10.1109/ccece.2011.6030476","title":"Enhanced two-step spectrum sensing algorithm for OFDM signal","year":2011,"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":"Western University","funders":"","keywords":"Cyclic prefix; Orthogonal frequency-division multiplexing; Cognitive radio; Computer science; Algorithm; Frequency domain; SIGNAL (programming language); Spectrum (functional analysis); Prefix; Time domain; Electronic engineering; Domain (mathematical analysis); Telecommunications; Mathematics; Engineering; Wireless; 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":[0.0004907486,0.0004687664,0.0004641633,0.0004470942,0.0002833156,0.0004544157,0.0008261466,0.0006160185,0.001786151],"category_scores_gemma":[0.001715535,0.0001841326,0.0003237959,0.000309662,0.0003175917,0.0008051367,0.0008368045,0.0006152021,0.0004756851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002628985,"about_ca_system_score_gemma":0.0007039842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006510789,"about_ca_topic_score_gemma":0.0009623079,"domain_scores_codex":[0.9995383,0.00008688238,0.00002833878,0.00008807443,0.0002241732,0.0000343248],"domain_scores_gemma":[0.9994068,0.0002607616,0.00005403552,0.00008891008,0.0001655805,0.00002387598],"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":[0.0005738384,0.000245278,0.001228597,0.0001951488,0.00008136353,0.0002115052,0.0002528929,0.1290847,0.134109,0.02369613,0.001866985,0.7084544],"study_design_scores_gemma":[0.00004235587,0.0001669445,0.0004013211,0.000008495962,0.00001323659,0.0003189093,0.00001584547,0.9715294,0.02295278,0.002822018,0.001708754,0.00001994444],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01049125,0.00007478909,0.9884155,0.00004508727,0.00002631694,0.0000446575,0.00001349071,0.00018649,0.000702528],"genre_scores_gemma":[0.2462949,0.0001136561,0.7509709,0.00008541493,0.00003439674,0.0001646381,0.0000677143,0.0000260967,0.002242315],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001786151,"threshold_uncertainty_score":0.005975246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02213514587799601,"score_gpt":0.2381272020900816,"score_spread":0.2159920562120856,"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."}}