{"id":"W2152002700","doi":"10.1109/wcnc.2007.699","title":"Hierarchical Spectrum Sharing in Cognitive Radio: A Microeconomic Approach","year":2007,"lang":"en","type":"article","venue":"","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Cognitive radio; Service (business); Computer science; Mathematical optimization; Computer network; Telecommunications; Business; Mathematics; Wireless; Marketing","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":[0.00126276,0.0007098953,0.0009195835,0.0008516792,0.0007721062,0.001960596,0.001802459,0.001686019,0.002573085],"category_scores_gemma":[0.003642628,0.0005076826,0.000801943,0.0008991135,0.002024996,0.002260972,0.001174324,0.001178308,0.0002085287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003131736,"about_ca_system_score_gemma":0.001697324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005585752,"about_ca_topic_score_gemma":0.005563004,"domain_scores_codex":[0.9992868,0.000347569,0.00001699326,0.00007623342,0.0001416212,0.0001307669],"domain_scores_gemma":[0.9986545,0.0009414773,0.0001387294,0.00005334462,0.0001075365,0.0001044178],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001922177,0.00004534933,0.0003390574,0.00006067057,0.00004071707,0.0001113486,0.00005184764,0.7765023,0.0004475752,0.2166145,0.0005162935,0.005251239],"study_design_scores_gemma":[0.00001078462,0.00001617845,0.0001282968,0.000007388544,0.000008153258,0.00002169713,0.00003263973,0.9173555,0.00007159942,0.08180179,0.0005372982,0.000008583662],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06930833,0.002211999,0.8991801,0.003089953,0.0001507248,0.0001468191,0.00009837077,0.00009218264,0.02572136],"genre_scores_gemma":[0.9494928,0.001568661,0.04256514,0.0002330666,0.000145824,0.000172222,0.00002897291,0.00002360933,0.005769722],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005585752,"threshold_uncertainty_score":0.02272242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01869923513526325,"score_gpt":0.2506612980601429,"score_spread":0.2319620629248796,"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."}}