{"id":"W2801678615","doi":"10.1109/access.2018.2817516","title":"Truthful Double Auction for Joint Internet of Energy and Profit Optimization in Cognitive Radio Networks","year":2018,"lang":"en","type":"article","venue":"IEEE Access","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Fundamental Research Funds for the Central Universities","keywords":"Cognitive radio; Computer science; Spectrum auction; Profit (economics); Profit maximization; Common value auction; Double auction; Auction theory; Reverse auction; Wireless; Computer network; Revenue equivalence; Mathematical optimization; Computer security; Microeconomics; Telecommunications; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007123724,0.00007089494,0.000153218,0.0001778478,0.00007202687,0.0001098629,0.0002180165,0.00006604364,0.0001839812],"category_scores_gemma":[0.0001369377,0.00005849071,0.00003251469,0.0005056353,0.0001787017,0.0005133465,0.00004539097,0.0000372726,0.000002569358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001467975,"about_ca_system_score_gemma":0.00001850323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005255099,"about_ca_topic_score_gemma":0.000069079,"domain_scores_codex":[0.9990198,0.00005600159,0.0003824203,0.00027811,0.0001576751,0.0001059768],"domain_scores_gemma":[0.9989469,0.0002741698,0.0002503357,0.0001451986,0.0003457936,0.00003757886],"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":[0.006323334,0.0006278753,0.03191698,0.00005501434,0.0001838118,0.000002357099,0.005100689,0.4097395,0.001401537,0.1395716,0.03769357,0.3673837],"study_design_scores_gemma":[0.002771001,0.0002681052,0.005004846,0.00008151487,0.00003498869,0.00001234835,0.000642552,0.8279037,0.09413958,0.06631896,0.002541106,0.0002813336],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.166918,0.00002350533,0.8315365,0.0001107295,0.0003076788,0.0002261055,0.000005288833,0.00001283827,0.0008593401],"genre_scores_gemma":[0.9979134,0.00001242911,0.000695864,0.0000696234,0.0002028559,0.0001209604,0.000008622184,0.00000651122,0.0009697787],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8309953,"threshold_uncertainty_score":0.2385182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1426027826028901,"score_gpt":0.4071092623657834,"score_spread":0.2645064797628933,"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."}}