{"id":"W2146902687","doi":"10.1109/glocom.2007.878","title":"Optimal Price Competition for Spectrum Sharing in Cognitive Radio: A Dynamic Game-Theoretic Approach","year":2007,"lang":"en","type":"article","venue":"","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Cognitive radio; Nash equilibrium; Computer science; Quality of service; Oligopoly; Bertrand competition; Game theory; Dynamic pricing; Mathematical optimization; Backward induction; Profit (economics); Best response; Computer network; Mathematical economics; Microeconomics; Telecommunications; Economics; Mathematics; Cournot competition; Wireless","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":[0.0009977266,0.0002174265,0.0002711164,0.000299943,0.0001132066,0.0001902381,0.000383828,0.00008377006,0.00001935654],"category_scores_gemma":[0.00005406211,0.0002168621,0.0001071536,0.0006823543,0.00009059875,0.0003450168,0.000149157,0.0002349466,0.000007884475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002038926,"about_ca_system_score_gemma":0.00003788738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002364249,"about_ca_topic_score_gemma":0.0001137953,"domain_scores_codex":[0.9979705,0.0000354591,0.0003490755,0.000709755,0.0002129096,0.0007223492],"domain_scores_gemma":[0.9990312,0.0004387565,0.00009406952,0.0002476593,0.00007060721,0.0001176372],"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":[0.0002186613,0.0003637317,0.000877874,0.00006244431,0.00005186855,0.0001068667,0.001942418,0.002637968,0.0003953248,0.9659191,0.00001509713,0.02740861],"study_design_scores_gemma":[0.001309043,0.0001593164,0.007311685,0.0001015604,0.00001154019,0.0001406647,0.0003286579,0.9738085,0.0006278327,0.01580623,0.00004317869,0.0003518545],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1440826,0.00009086946,0.8368905,0.000182737,0.000130952,0.0005677083,0.000002295182,0.0001488956,0.01790341],"genre_scores_gemma":[0.9228349,0.00001820583,0.07667041,0.0001721211,0.00009727347,0.00001458286,0.00001879495,0.00001949815,0.0001541889],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9711705,"threshold_uncertainty_score":0.8843378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01329148641290693,"score_gpt":0.2562454233094362,"score_spread":0.2429539368965293,"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."}}