{"id":"W2022799672","doi":"10.1145/2345396.2345450","title":"Higher layer issues in cognitive radio network","year":2012,"lang":"en","type":"article","venue":"","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cistel Technology (Canada); Concordia University","funders":"","keywords":"Cognitive radio; Computer science; Computer network; Physical layer; Spectrum management; Robustness (evolution); Cognitive network; Software deployment; Software-defined radio; Network layer; Application layer; Layer (electronics); Wireless; Telecommunications","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":[0.002469023,0.0006949738,0.0006391366,0.0008095264,0.001486969,0.00602335,0.001274664,0.002580522,0.003639265],"category_scores_gemma":[0.006520593,0.0004468539,0.0006621794,0.001233045,0.001754824,0.005497778,0.002006458,0.003283142,0.0008463447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001617658,"about_ca_system_score_gemma":0.001246775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003043132,"about_ca_topic_score_gemma":0.001831283,"domain_scores_codex":[0.9977387,0.0005881509,0.00015471,0.0002805875,0.0009007548,0.0003371021],"domain_scores_gemma":[0.9964337,0.002107312,0.0002812692,0.0003922366,0.0006787259,0.0001067397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006826575,0.00006397068,0.000631492,0.0005607786,0.00004402452,0.0005485095,0.0006781601,0.01123786,0.00376632,0.8727844,0.009274447,0.1003417],"study_design_scores_gemma":[0.00001796579,0.0000874383,0.0008059424,0.0004297769,0.0000810672,0.0009346154,0.0004643399,0.06882218,0.004296687,0.8113357,0.112645,0.00007929318],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02547819,0.1521304,0.6480886,0.0321642,0.006505186,0.0001433299,0.0001396521,0.0006534403,0.1346971],"genre_scores_gemma":[0.6890744,0.08292399,0.1779861,0.006844791,0.00825811,0.0003423985,0.0001748512,0.0001726155,0.03422272],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00602335,"threshold_uncertainty_score":0.01305759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02968524392607262,"score_gpt":0.2810507288995419,"score_spread":0.2513654849734692,"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."}}