{"id":"W3036807556","doi":"10.1109/access.2020.3003894","title":"Trusted UAV Network Coverage Using Blockchain, Machine Learning, and Auction Mechanisms","year":2020,"lang":"en","type":"article","venue":"IEEE Access","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Population and Public Health; Engineering and Physical Sciences Research Council; UK-India Education and Research Initiative; King Saud University; Leverhulme Trust","keywords":"Computer science; Provisioning; Reputation; Computer security; Smart contract; Quality of service; Computer network; Service (business); Common value auction; Distributed computing; Trusted Network Connect; Blockchain; Trusted Computing","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001654171,0.0001353915,0.0001730185,0.00005330426,0.0003434497,0.0001715354,0.000681094,0.0001368772,0.0000153067],"category_scores_gemma":[0.00001903191,0.0001367217,0.00003138073,0.0006746017,0.00004653637,0.0001777937,0.0003497406,0.0003220387,0.000006533837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002209747,"about_ca_system_score_gemma":0.00002272643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009221284,"about_ca_topic_score_gemma":0.00001661343,"domain_scores_codex":[0.9989615,0.00005899074,0.0001791399,0.0004297681,0.0001319882,0.0002385883],"domain_scores_gemma":[0.99945,0.00003698132,0.000118463,0.0002523179,0.00004988423,0.00009236973],"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":[0.0001232274,0.0003742313,0.01838593,0.0002298324,0.0003109822,0.0001729619,0.003207809,0.1747984,0.027242,0.5591166,0.003760157,0.2122779],"study_design_scores_gemma":[0.0003252864,0.00006109656,0.0001768517,0.000007548537,0.00001166502,0.00003202255,0.00001066875,0.9613717,0.004057517,0.03018452,0.003573113,0.0001880148],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1663147,0.0002290447,0.830869,0.001709016,0.0001706938,0.0001709949,0.000001771018,0.0004307837,0.0001040317],"genre_scores_gemma":[0.9878235,0.00004688386,0.01094297,0.001000803,0.0001352627,0.00001605378,0.000001948692,0.00001133177,0.00002123817],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8215088,"threshold_uncertainty_score":0.5575351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02470835782322136,"score_gpt":0.2683569506583754,"score_spread":0.2436485928351541,"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."}}