{"id":"W2010619042","doi":"10.1109/vetecf.2010.5594326","title":"A Competitive and Dynamic Pricing Model for Secondary Users in Infrastructure Based Networks","year":2010,"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":"Carleton University","funders":"","keywords":"Computer science; Computer network; Base station; Competition (biology); Wireless; Scalability; Dynamic pricing; Telecommunications; Service provider; Service (business); Business; Database","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":[0.0001755938,0.0001337823,0.0001658657,0.0001091591,0.00009846118,0.0001227114,0.0001721838,0.00008727825,0.000008217919],"category_scores_gemma":[0.00001854865,0.0001226533,0.00003781664,0.0002003772,0.00005245772,0.0002395667,0.00007898501,0.0003702191,2.127912e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000029358,"about_ca_system_score_gemma":0.00008130598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001418757,"about_ca_topic_score_gemma":0.002047044,"domain_scores_codex":[0.9991161,0.00001858493,0.0001510694,0.0003448593,0.00007419386,0.0002952055],"domain_scores_gemma":[0.9994272,0.0002258582,0.00004484458,0.000179731,0.00004909391,0.00007326344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004965381,0.0000420412,0.00287005,0.00003213432,0.00002238878,0.00002261167,0.0008774122,0.4234754,0.002066155,0.2866536,0.0001994447,0.2836891],"study_design_scores_gemma":[0.000656091,0.00002720933,0.01157871,0.00002236866,0.000002950724,0.00001122922,0.0000272728,0.9829956,0.00003021864,0.004390234,0.00009676004,0.0001613525],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09465421,0.00003487017,0.9029542,0.000374038,0.0001605335,0.0002338887,0.000002285752,0.00005937711,0.001526657],"genre_scores_gemma":[0.8560951,0.000004614113,0.1432202,0.0005978618,0.00003129244,0.000005154252,0.000003796804,0.000009012541,0.00003286159],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7614409,"threshold_uncertainty_score":0.5001656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004981290023783044,"score_gpt":0.2174582225364134,"score_spread":0.2124769325126304,"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."}}