{"id":"W4400259482","doi":"10.21203/rs.3.rs-4544872/v1","title":"A Secure and Lightweight Data Sharing Scheme in Vehicular Digital Twin Network","year":2024,"lang":"en","type":"preprint","venue":"Research Square","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Data sharing; Computer network; Computer security; Authentication (law); Anonymity; Overhead (engineering); Data transmission; Scheme (mathematics); Cyberspace; The Internet; World Wide Web","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00115137,0.0005736541,0.001069492,0.000785462,0.001880304,0.001616612,0.001574999,0.001043124,0.002140966],"category_scores_gemma":[0.00279641,0.0003983224,0.0005825509,0.001180722,0.001116772,0.003514872,0.004718873,0.001287009,0.0006069237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001274052,"about_ca_system_score_gemma":0.002040269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001307295,"about_ca_topic_score_gemma":0.001252336,"domain_scores_codex":[0.9978064,0.0004390833,0.0001725166,0.0003877741,0.0007869151,0.0004073812],"domain_scores_gemma":[0.9980223,0.0004301358,0.0001945908,0.0007669314,0.0004188232,0.0001672066],"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":[0.002965515,0.0004461464,0.002846607,0.0005751523,0.0002345835,0.001173476,0.001256295,0.1571059,0.1371984,0.3836685,0.01129156,0.3012379],"study_design_scores_gemma":[0.0001442722,0.0005817777,0.0005901507,0.00004254291,0.0001146472,0.00101759,0.0003304718,0.8638523,0.03555449,0.0833437,0.01428514,0.0001429009],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1144832,0.0008775265,0.8765389,0.0005525704,0.0003557574,0.0003230323,0.0001812764,0.0006057671,0.006081975],"genre_scores_gemma":[0.9289388,0.0002770916,0.06423243,0.0001181348,0.00009053246,0.0001306474,0.0001823098,0.00003732797,0.005992742],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002140966,"threshold_uncertainty_score":0.009243906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05452174450640899,"score_gpt":0.3368396852056484,"score_spread":0.2823179406992394,"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."}}