{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007876552,0.000178812,0.0002438967,0.0003156763,0.00009022229,0.000180736,0.0004556747,0.00007412703,0.00002990275],"category_scores_gemma":[0.0000232295,0.0001767852,0.00008348485,0.0004984316,0.00007115708,0.0003167955,0.0002568597,0.000367244,0.00003468844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000139889,"about_ca_system_score_gemma":0.00004042822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001016149,"about_ca_topic_score_gemma":0.0003555101,"domain_scores_codex":[0.998152,0.00003069425,0.0003336406,0.0006870403,0.0001207968,0.0006758414],"domain_scores_gemma":[0.9992785,0.0002411298,0.00005271292,0.0002632519,0.00001800331,0.0001464289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002382933,0.0007682213,0.0617365,0.0000319057,0.0001400133,0.001108262,0.004340525,0.000364786,0.001786839,0.5455859,0.0003764889,0.3835222],"study_design_scores_gemma":[0.00313512,0.0001878645,0.1791254,0.0001318903,0.00001374923,0.0008502658,0.000450415,0.7778899,0.006119605,0.03039402,0.0005464954,0.001155274],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.280962,0.00009479627,0.6504911,0.0002816414,0.0001173907,0.0001645643,4.95214e-7,0.000104528,0.06778356],"genre_scores_gemma":[0.9757357,0.00001375531,0.02335304,0.0004415003,0.0001839912,0.000002449666,0.000003292383,0.00001259601,0.0002537174],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7775251,"threshold_uncertainty_score":0.7209092,"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."}}