{"id":"W2129802095","doi":"10.1002/wcm.935","title":"A secure and efficient RSU‐aided bundle forwarding protocol for vehicular delay tolerant networks","year":2010,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"Opportunistic and Delay-Tolerant Networks","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Computer science; Computer network; Vehicular ad hoc network; Wireless ad hoc network; Protocol (science); Bundle; Vehicle-to-vehicle; Delay-tolerant networking; Wireless; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001196924,0.000510228,0.0006357139,0.0008965476,0.0007619014,0.0006405581,0.001092581,0.0007105376,0.0008581823],"category_scores_gemma":[0.002106181,0.0003003122,0.0003471286,0.0006827534,0.0007076231,0.001402271,0.001978476,0.0006142436,0.0004048395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005072479,"about_ca_system_score_gemma":0.0007326297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000790312,"about_ca_topic_score_gemma":0.001078141,"domain_scores_codex":[0.9989462,0.0003094341,0.00007362142,0.00009841267,0.0004511569,0.0001211105],"domain_scores_gemma":[0.99852,0.0004210351,0.0003382601,0.0003315094,0.0003172569,0.00007201567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00132126,0.0003483975,0.003185357,0.0003349161,0.0002515947,0.001806026,0.001309932,0.3903708,0.1000882,0.1395973,0.01208732,0.3492989],"study_design_scores_gemma":[0.00009958688,0.0004670538,0.0003877289,0.00002088737,0.00004810121,0.0005212673,0.0001092794,0.9495782,0.01443389,0.02270572,0.01157832,0.00005001701],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06447197,0.0007130553,0.9309642,0.0004109677,0.0001306657,0.0002403348,0.00007998988,0.0005864158,0.002402399],"genre_scores_gemma":[0.9001634,0.0003616776,0.0963944,0.0001162523,0.00007970366,0.0002330441,0.0001894064,0.00002505826,0.002437026],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001196924,"threshold_uncertainty_score":0.006330013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02034598318505143,"score_gpt":0.2953408173985421,"score_spread":0.2749948342134906,"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."}}