{"id":"W2161232148","doi":"10.1109/ccece.2009.5090124","title":"Sensing and suppression of impulsive interference","year":2009,"lang":"en","type":"article","venue":"","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Transceiver; Interference (communication); Computer science; Cognitive radio; Electronic engineering; Throughput; Co-channel interference; Radio frequency; Single antenna interference cancellation; Adjacent-channel interference; Electromagnetic interference; Telecommunications; Engineering; Channel (broadcasting); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004690192,0.0004005265,0.0004846841,0.0003425925,0.0001915449,0.0006365424,0.0007097008,0.0005235326,0.0005063608],"category_scores_gemma":[0.001858056,0.0001983999,0.0002144393,0.00038504,0.0007478765,0.0005952218,0.0007941407,0.0003372168,0.0002337214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002053859,"about_ca_system_score_gemma":0.0002360347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002377352,"about_ca_topic_score_gemma":0.0002279481,"domain_scores_codex":[0.9995468,0.00009991349,0.00002139623,0.00007403714,0.0002083689,0.0000493733],"domain_scores_gemma":[0.9991705,0.0004370357,0.0001373749,0.0001208638,0.0001031347,0.00003107637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004121079,0.0001797761,0.001578544,0.0002362303,0.00007974701,0.0003859588,0.0003529213,0.3010996,0.4349628,0.05526531,0.0008479296,0.204599],"study_design_scores_gemma":[0.00003983641,0.0003573126,0.001169926,0.00002659063,0.00004612203,0.000359093,0.00009446628,0.8797329,0.0941679,0.02170076,0.002270994,0.00003402946],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1195715,0.0004903093,0.8732219,0.0001177443,0.00003835836,0.00001907884,0.00001606345,0.0002660618,0.006259079],"genre_scores_gemma":[0.9227414,0.0004676009,0.0749241,0.00007480729,0.00006497189,0.00002741858,0.00002560796,0.00001418039,0.001659857],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0007097008,"threshold_uncertainty_score":0.002480388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009432242440348938,"score_gpt":0.2363437764429225,"score_spread":0.2269115340025736,"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."}}