{"id":"W2001062896","doi":"10.1109/tvt.2014.2365721","title":"Hierarchical Decision-Making With Information Asymmetry for Spectrum Sharing Systems","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Stackelberg competition; Uniqueness; Information sharing; Information asymmetry; Mathematical optimization; Asymmetry; Complete information; Maximization; Computer science; Game theory; Variational inequality; Information exchange; Mathematical economics; Mathematics; Microeconomics; Economics","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":[0.002569892,0.0009237692,0.001125206,0.0006358529,0.001037256,0.001798937,0.001622924,0.001303728,0.002188749],"category_scores_gemma":[0.006168071,0.0005510408,0.0009959671,0.0008287402,0.001608696,0.002243747,0.001800375,0.001523773,0.0002620601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001825512,"about_ca_system_score_gemma":0.001715009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004686038,"about_ca_topic_score_gemma":0.003303338,"domain_scores_codex":[0.9977298,0.0007989456,0.0001083096,0.0003857624,0.0005786696,0.00039854],"domain_scores_gemma":[0.9966387,0.002056228,0.0006026927,0.0002286301,0.0003096077,0.0001641998],"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":[0.0001030111,0.00006537749,0.00103617,0.0001104039,0.00008808417,0.0003451133,0.0003567739,0.8120548,0.002879703,0.1705169,0.0005443433,0.01189938],"study_design_scores_gemma":[0.00001149137,0.00002262096,0.0001436283,0.000004911143,0.00001173323,0.00002115501,0.00003210108,0.954557,0.0002374282,0.04474944,0.0001978744,0.00001054777],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05982921,0.0002866627,0.9345711,0.0004269128,0.0000391335,0.00006601321,0.00006488059,0.00007243822,0.004643613],"genre_scores_gemma":[0.9704471,0.000207966,0.02796044,0.00007512604,0.00003614235,0.00007707678,0.00003746566,0.00001004772,0.001148672],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004686038,"threshold_uncertainty_score":0.01359111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01213119662019215,"score_gpt":0.2407643974504123,"score_spread":0.2286332008302202,"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."}}