{"id":"W3048121280","doi":"10.1109/access.2020.3015096","title":"Privacy and Security Management in Intelligent Transportation System","year":2020,"lang":"en","type":"article","venue":"IEEE Access","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"Ministry of Science and ICT, South Korea; National Research Foundation of Korea; King Saud University; National Research Foundation","keywords":"Metropolitan area; Computer security; Computer science; Intelligent transportation system; Transport engineering; Engineering","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":[0.00146766,0.0002769558,0.0003670825,0.0004923536,0.0009801153,0.001470408,0.0006929048,0.0005999405,0.001001531],"category_scores_gemma":[0.00319187,0.0001343289,0.0004375137,0.0006929183,0.001244191,0.002586697,0.001692191,0.0007814584,0.0001853457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001282088,"about_ca_system_score_gemma":0.001310024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001040269,"about_ca_topic_score_gemma":0.000599389,"domain_scores_codex":[0.9980715,0.000740004,0.0001356302,0.0003170334,0.000480079,0.0002557971],"domain_scores_gemma":[0.9978833,0.0007650363,0.0003824336,0.0006534283,0.0002173354,0.00009844587],"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":[0.0008325651,0.0002412206,0.009460457,0.0003143787,0.0001399199,0.0007704934,0.001446307,0.336767,0.04833741,0.3456249,0.005071229,0.2509941],"study_design_scores_gemma":[0.00005645594,0.0001992118,0.001654144,0.00002772727,0.00005590879,0.0003852188,0.0002237766,0.8855312,0.02099671,0.0818216,0.009005899,0.00004204233],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1381471,0.0003842342,0.851685,0.0009684464,0.00004657009,0.0001671014,0.0001059393,0.0008061972,0.007689381],"genre_scores_gemma":[0.9419587,0.0001579306,0.05633,0.00008077925,0.00002630448,0.00006577648,0.00005605328,0.00001888799,0.001305588],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001470408,"threshold_uncertainty_score":0.009302199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01788511646663944,"score_gpt":0.2406867524610716,"score_spread":0.2228016359944322,"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."}}