{"id":"W4285140876","doi":"10.1109/ojvt.2022.3172709","title":"Blockchain for V2X: Applications and Architectures","year":2022,"lang":"en","type":"article","venue":"IEEE Open Journal of Vehicular Technology","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Blockchain; Computer science; Computer security; Domain (mathematical analysis); Data sharing; Global Positioning System; State (computer science); Data science; Distributed computing; Telecommunications","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":[0.0007719544,0.0001121879,0.0002682734,0.0005204497,0.0005523406,0.00006042275,0.003130986,0.0001193147,0.000008023908],"category_scores_gemma":[0.00004267885,0.0001060742,0.00006899543,0.0007514312,0.0001727292,0.00004154844,0.0009649129,0.0005562395,9.278273e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004013954,"about_ca_system_score_gemma":0.0001180164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003878698,"about_ca_topic_score_gemma":0.000003850251,"domain_scores_codex":[0.9989471,0.00005188497,0.0003558681,0.0002804931,0.0001495655,0.0002150338],"domain_scores_gemma":[0.9987502,0.00008403476,0.000354854,0.0005941109,0.0001492881,0.00006748612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002961187,0.0003660765,0.0002404032,0.00001717159,0.0001351025,0.00003896705,0.0002956122,0.001856343,0.01193309,0.7464658,0.001824043,0.2367978],"study_design_scores_gemma":[0.001312296,0.0008939489,0.00005682852,0.00000901061,0.00004067457,0.00326193,0.0003404716,0.01262643,0.01770266,0.6722549,0.2912258,0.0002750696],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1915158,0.001708797,0.7781104,0.02727852,0.0001218338,0.001054084,0.00001261501,0.0001151607,0.00008271229],"genre_scores_gemma":[0.8911183,0.00002031672,0.1076644,0.0003878784,0.00003126287,0.0007283015,5.963317e-7,0.00001046049,0.00003845479],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6996025,"threshold_uncertainty_score":0.5818203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01169157415836434,"score_gpt":0.2660273800925601,"score_spread":0.2543358059341957,"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."}}