{"id":"W2081502683","doi":"10.1016/j.comnet.2015.01.003","title":"A novel macroscopic mobility model for vehicular networks","year":2015,"lang":"en","type":"article","venue":"Computer Networks","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Vehicular ad hoc network; Mobility model; TRACE (psycholinguistics); Scale (ratio); Process (computing); Task (project management); Wireless ad hoc network; Simulation; Distributed computing; Telecommunications; Systems engineering; Wireless","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"],"consensus_categories":[],"category_scores_codex":[0.0005926805,0.0004882473,0.0005510579,0.00006715996,0.0001135013,0.0001587506,0.0005560669,0.0004257576,0.000005307123],"category_scores_gemma":[0.00001150729,0.000515425,0.0002411061,0.0003081235,0.00007916527,0.0002125869,0.0002089121,0.0005608015,0.00001445632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002347692,"about_ca_system_score_gemma":0.00005298312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006350988,"about_ca_topic_score_gemma":0.00002962172,"domain_scores_codex":[0.997489,0.00003761811,0.0005242071,0.0005829463,0.000261261,0.001104907],"domain_scores_gemma":[0.9982839,0.0001203091,0.0000691386,0.0008372868,0.0001777281,0.0005116467],"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":[0.00002288545,0.00006259423,0.0001254901,0.00003692134,0.0000933617,0.000006756742,0.00008587003,0.9601696,0.00001102417,0.0002260898,0.03190113,0.007258281],"study_design_scores_gemma":[0.001403167,0.00007337402,0.0001418406,0.00006934515,0.00004961332,0.00002622625,0.000003536165,0.9929885,0.000007663903,0.0003409455,0.004353394,0.000542371],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01648397,0.002488875,0.9764016,0.00003883604,0.00251972,0.0009232138,0.00001193024,0.0009519874,0.0001798641],"genre_scores_gemma":[0.9055684,0.00005656384,0.09040529,0.0004803075,0.002825734,0.0002294819,0.0001443686,0.0001792216,0.0001106333],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8890844,"threshold_uncertainty_score":0.9997298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02496875558753459,"score_gpt":0.2315094300533956,"score_spread":0.206540674465861,"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."}}