{"id":"W2114736842","doi":"10.1109/glocom.2010.5683741","title":"Parallel Link Rendezvous in Ad Hoc Cognitive Radio Networks","year":2010,"lang":"en","type":"article","venue":"","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Beijing Institute For Brain Disorders; King Saud University","keywords":"Rendezvous; Computer science; Computer network; Control channel; Cognitive radio; Wireless ad hoc network; Mobile ad hoc network; Channel (broadcasting); Throughput; Block (permutation group theory); Protocol (science); Distributed computing; Wireless; Engineering; Telecommunications; Mathematics","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":[0.00155757,0.000443683,0.0004852469,0.0005589201,0.0006885012,0.0007540025,0.0009475459,0.000555238,0.0005093555],"category_scores_gemma":[0.003479321,0.0004304079,0.0002773907,0.0005353931,0.001531454,0.001228777,0.0009897433,0.0005874637,0.000154638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007366809,"about_ca_system_score_gemma":0.0008138492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002875331,"about_ca_topic_score_gemma":0.002129419,"domain_scores_codex":[0.9987459,0.0004798594,0.00005188951,0.0001911868,0.0004150945,0.000116032],"domain_scores_gemma":[0.9983273,0.001030116,0.0001991239,0.0002099152,0.0001686517,0.00006494442],"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":[0.0002485203,0.00007190403,0.001120994,0.0001895218,0.00006631278,0.0003016058,0.0003310599,0.8439755,0.01278549,0.06707958,0.0007544309,0.07307503],"study_design_scores_gemma":[0.00004597279,0.0001929426,0.0002081583,0.00001240194,0.00002589377,0.0001467318,0.00005096859,0.9566826,0.003608692,0.03648298,0.002524675,0.00001809182],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0452082,0.001132758,0.9502757,0.0001135023,0.00004518117,0.00006696284,0.00001670519,0.000203854,0.002937221],"genre_scores_gemma":[0.8884785,0.001145617,0.1074873,0.00008082431,0.0000667049,0.000232513,0.00004474235,0.0000337175,0.00243016],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002875331,"threshold_uncertainty_score":0.008237362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01136748415622975,"score_gpt":0.2356882453944899,"score_spread":0.2243207612382601,"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."}}