{"id":"W2498637496","doi":"10.4018/978-1-4666-4691-9.ch005","title":"Security and Connectivity Analysis in Vehicular Communication Networks","year":2013,"lang":"en","type":"book-chapter","venue":"Advances in information security, privacy, and ethics book series","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Vehicular ad hoc network; Computer network; Wireless ad hoc network; Computer science; Robustness (evolution); Node (physics); Vehicular communication systems; Transmission (telecommunications); Wireless; Fading; Dedicated short-range communications; Telecommunications; Engineering; Channel (broadcasting)","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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001131673,0.0005260822,0.000819755,0.0005823466,0.0001890302,0.0002514386,0.000335099,0.001134247,0.00007510883],"category_scores_gemma":[0.000143328,0.0005956216,0.0001078931,0.0002400491,0.0004416663,0.006807407,0.0004004137,0.002837802,0.00001307039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001729168,"about_ca_system_score_gemma":0.00004599624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008185607,"about_ca_topic_score_gemma":0.003493181,"domain_scores_codex":[0.9978511,0.0001204976,0.000946724,0.0002914841,0.0003880507,0.0004021587],"domain_scores_gemma":[0.998139,0.000540408,0.0003082875,0.0006894927,0.0001920456,0.000130714],"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":[0.0000485465,0.00001746927,0.001463941,0.001406946,0.0003453213,0.00000880154,0.0204566,0.7171937,4.073285e-7,0.2546277,0.0003224527,0.00410806],"study_design_scores_gemma":[0.0005720801,0.00004411846,0.0008736823,0.0005593118,0.0001764463,0.00002279383,0.0004181459,0.4738662,0.000007203776,0.1269827,0.3955521,0.0009252569],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03920671,0.3791552,0.01151428,0.002435333,0.001196381,0.004575063,0.0002667372,0.001279932,0.5603704],"genre_scores_gemma":[0.6232823,0.3745523,0.0004388591,0.0004250029,0.00006958858,0.00009036587,0.0006103986,0.00005473858,0.0004764357],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.5840756,"threshold_uncertainty_score":0.9996495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008157520905095568,"score_gpt":0.2316371373297348,"score_spread":0.2234796164246393,"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."}}