{"id":"W2112647076","doi":"10.1049/iet-com.2012.0627","title":"Secondary user access based on stochastic link estimation in cognitive radio with fibre‐connected distributed antennas","year":2013,"lang":"en","type":"article","venue":"IET Communications","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":"National Youth Science Foundation","keywords":"Cognitive radio; Computer science; Link (geometry); Stochastic geometry; Estimation; Computer network; Telecommunications; Mathematics; Wireless; Statistics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001402301,0.0009498934,0.001301207,0.0004980668,0.0005265356,0.001372738,0.0014398,0.0008678478,0.0008491627],"category_scores_gemma":[0.003304829,0.0006202591,0.0007963861,0.0007773757,0.001132225,0.001026428,0.001156718,0.001065904,0.0001637649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001150486,"about_ca_system_score_gemma":0.001650903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007968559,"about_ca_topic_score_gemma":0.005142157,"domain_scores_codex":[0.9986805,0.0004080817,0.0000437648,0.000242511,0.0003495007,0.0002755478],"domain_scores_gemma":[0.998181,0.001126521,0.0002494649,0.00009716586,0.0002627033,0.00008319807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002029407,0.0000984454,0.001024222,0.0001001238,0.00008442465,0.0001727469,0.0001133822,0.9447453,0.003060868,0.01838199,0.0005357951,0.03147977],"study_design_scores_gemma":[0.0000062199,0.00002544513,0.0000956416,0.000002945861,0.00001017513,0.00002042004,0.000005904134,0.9977672,0.0003490041,0.001616929,0.00009437474,0.000005775103],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03230446,0.0002708977,0.9654498,0.0001182906,0.00003530806,0.0000286233,0.00001715048,0.00013294,0.001642561],"genre_scores_gemma":[0.9623412,0.0002664112,0.03568052,0.00006749716,0.00005094905,0.00004955918,0.00003476127,0.00001725213,0.001491862],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007968559,"threshold_uncertainty_score":0.01584435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0253640848273287,"score_gpt":0.2797855551509322,"score_spread":0.2544214703236035,"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."}}