{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002011764,0.0005132254,0.00106922,0.0007177605,0.001105517,0.001768999,0.001568983,0.0009355156,0.003388099],"category_scores_gemma":[0.004993217,0.0003144326,0.0004139888,0.001105141,0.00131403,0.00302262,0.001889926,0.000767231,0.0004100011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00149044,"about_ca_system_score_gemma":0.002586995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005961939,"about_ca_topic_score_gemma":0.005491295,"domain_scores_codex":[0.9982141,0.0006456621,0.00008419153,0.0002604698,0.000539948,0.0002555269],"domain_scores_gemma":[0.9968606,0.001351968,0.0005847375,0.0005636471,0.000410022,0.0002289854],"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":[0.0002643655,0.0001524653,0.00184613,0.0001133685,0.00004621801,0.000471678,0.0001727589,0.8284526,0.003826733,0.1077307,0.001373465,0.05554957],"study_design_scores_gemma":[0.0000237239,0.00003808452,0.000102351,0.000008003256,0.000005933822,0.00004440061,0.00002020121,0.9767312,0.0006063947,0.02163664,0.0007754537,0.000007643041],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.104072,0.0004433702,0.8820546,0.0004918257,0.00007280125,0.0002371079,0.0001230615,0.0006370245,0.01186838],"genre_scores_gemma":[0.9733372,0.0001864142,0.02381573,0.00002586157,0.0000216792,0.00009080912,0.00005533027,0.00001649256,0.002450529],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005961939,"threshold_uncertainty_score":0.01185447,"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."}}