{"id":"W2119993701","doi":"10.1109/mesh.2009.16","title":"Application of Mechanism Design in Opportunistic Scheduling under Cognitive Radio Systems","year":2009,"lang":"en","type":"article","venue":"","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Nash equilibrium; Scheduling (production processes); Mechanism design; Mathematical optimization; Cognitive radio; Dynamic priority scheduling; Distributed computing; Computer network; Mathematical economics; Wireless; 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":[0.008339181,0.0005793057,0.0008332422,0.0009301809,0.0009218024,0.00207121,0.002278181,0.002192206,0.001605535],"category_scores_gemma":[0.01528692,0.0005145317,0.0009293942,0.0008999149,0.002410757,0.002665907,0.001546133,0.001510644,0.0001511163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001828148,"about_ca_system_score_gemma":0.002569271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00113698,"about_ca_topic_score_gemma":0.0005852191,"domain_scores_codex":[0.995616,0.002843296,0.000200423,0.000404126,0.00065855,0.0002776032],"domain_scores_gemma":[0.9928797,0.004995962,0.0007180039,0.0006034223,0.000562804,0.0002402199],"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":[0.0001043202,0.0001396009,0.000791772,0.0001632948,0.000107723,0.0002629453,0.0002613878,0.2952009,0.001970021,0.6676441,0.0007194043,0.03263453],"study_design_scores_gemma":[0.0001331484,0.0001303525,0.0001325102,0.00003107116,0.00003018542,0.0001615416,0.00004413332,0.7451823,0.0009417538,0.2507432,0.002438506,0.00003120503],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0254241,0.0004765717,0.967337,0.0008661923,0.0001039693,0.0001760789,0.00001882089,0.0000906698,0.005506712],"genre_scores_gemma":[0.8553,0.0004565954,0.1414163,0.00019782,0.00009213444,0.0004270824,0.00001488166,0.00001623505,0.002078982],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008339181,"threshold_uncertainty_score":0.04410231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03219179219700821,"score_gpt":0.2577724086809108,"score_spread":0.2255806164839026,"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."}}