{"id":"W2956303394","doi":"10.3390/s19143165","title":"A Blockchain Framework for Securing Connected and Autonomous Vehicles","year":2019,"lang":"en","type":"article","venue":"Sensors","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":185,"is_retracted":false,"has_abstract":true,"ca_institutions":"Gnowit (Canada)","funders":"","keywords":"Computer security; Computer science; Context (archaeology); Authentication (law); Key (lock); Compromise; Vehicular ad hoc network; Service (business); The Internet; Adversary; Computer network; Wireless; Telecommunications; Wireless ad hoc network","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":[0.000148907,0.0001000605,0.0001397346,0.00007947395,0.0001147747,0.00004366968,0.0003244242,0.0001622011,0.000004933489],"category_scores_gemma":[0.00005263224,0.0000990569,0.00003415965,0.0002018162,0.00005182092,0.00002587503,0.0001325397,0.0001583283,0.00002412459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001470715,"about_ca_system_score_gemma":0.00001776453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001038136,"about_ca_topic_score_gemma":0.000004153083,"domain_scores_codex":[0.9992086,0.00001833841,0.0001283218,0.0003574301,0.00006228401,0.0002250666],"domain_scores_gemma":[0.9991142,0.0002558665,0.00005633708,0.0004816283,0.00004344942,0.00004847812],"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":[0.000003512652,0.00002281571,0.0006046714,0.00001814505,0.00001365127,0.000001337818,0.0007567951,0.0001019779,0.0006207991,0.9874367,0.00003772067,0.01038186],"study_design_scores_gemma":[0.0005333527,0.0001237645,0.002231884,0.00003274038,0.00000803313,0.00003416509,0.0002069316,0.5603768,0.009478798,0.4188361,0.007808201,0.0003291646],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9210817,0.0001393842,0.07557644,0.002190307,0.00009080067,0.000378211,0.000003965509,0.0003853009,0.0001538916],"genre_scores_gemma":[0.9134582,0.000005506535,0.08618242,0.0001910367,0.00002399455,0.00003755173,7.316165e-7,0.000008066286,0.00009246483],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5686005,"threshold_uncertainty_score":0.4039423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008675220321673546,"score_gpt":0.2336912434299229,"score_spread":0.2250160231082494,"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."}}