{"id":"W3174913621","doi":"10.1155/2021/5569331","title":"Shared Mobility for Transport and Its Environmental Impact VeSIPreS: A Vehicular Soft Integrity Preservation Scheme for Shared Mobility","year":2021,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission","keywords":"Software deployment; Software; Scheme (mathematics); Default gateway; Computer science; Computer security; Component (thermodynamics); Personal mobility; Trusted Platform Module; Gateway (web page); Embedded system; Computer network; Operating system; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.001102558,0.0005882633,0.0004558259,0.0008030239,0.001057722,0.001597122,0.001342318,0.0009743264,0.003061556],"category_scores_gemma":[0.003188546,0.0002078946,0.0004378899,0.0005615432,0.001224868,0.003821342,0.004505135,0.001546375,0.0009680446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001137451,"about_ca_system_score_gemma":0.001040965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001211185,"about_ca_topic_score_gemma":0.0007316693,"domain_scores_codex":[0.9982231,0.0003776473,0.0001421081,0.000220659,0.0006515566,0.0003849819],"domain_scores_gemma":[0.9972689,0.0003399162,0.0003516527,0.001221429,0.0006468618,0.0001712164],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001880914,0.0002251041,0.00813033,0.0008101829,0.0002399265,0.001739077,0.001722614,0.05239489,0.1729576,0.2328749,0.01235124,0.5146732],"study_design_scores_gemma":[0.0001683688,0.002474511,0.005580376,0.0004374804,0.000357826,0.004386391,0.001440979,0.3931002,0.3071733,0.07925031,0.2053375,0.000292756],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.203519,0.003250686,0.7592757,0.00169208,0.0004799996,0.0004260785,0.0002862433,0.004403244,0.02666693],"genre_scores_gemma":[0.966116,0.0005858208,0.02328563,0.0001573041,0.00005791873,0.00009832615,0.0001842678,0.0000838587,0.009430978],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003061556,"threshold_uncertainty_score":0.01024193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01372953907574593,"score_gpt":0.2534777281228548,"score_spread":0.2397481890471089,"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."}}