{"id":"W2029551165","doi":"10.1109/glocom.2013.6831123","title":"A performance evaluation of a context-aware path recommendation protocol for Vehicular Ad-hoc Networks","year":2013,"lang":"en","type":"article","venue":"","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Protocol (science); Path (computing); Computer network; Context (archaeology); Fast path; Set (abstract data type); Traffic congestion; Wireless ad hoc network; Downtown; Transport engineering; Shortest path problem; Engineering; Telecommunications; Geography","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":[],"consensus_categories":[],"category_scores_codex":[0.0007528185,0.0001885554,0.0002196684,0.00005863262,0.00005588079,0.00003336262,0.0001218285,0.0001434109,0.0008867891],"category_scores_gemma":[0.00002509912,0.0001715142,0.00008400323,0.0001553936,0.00001869976,0.0003540327,0.00002247092,0.0001365013,0.00003418878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001355744,"about_ca_system_score_gemma":0.00003462104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006978546,"about_ca_topic_score_gemma":0.00002416844,"domain_scores_codex":[0.9987597,0.00006500124,0.0004047417,0.000193352,0.0002584375,0.0003187237],"domain_scores_gemma":[0.9990882,0.00005684383,0.00009242105,0.0002479131,0.0004423175,0.00007228598],"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":[0.00001443658,0.00002005043,0.0001776245,0.00009689943,0.00003380978,6.211786e-8,0.00003937318,0.6972207,0.00008481408,0.000009770639,0.007248465,0.295054],"study_design_scores_gemma":[0.001792293,0.0001344705,0.001676319,0.0001175267,0.00003399738,0.000002626159,0.00004810512,0.9811354,0.0004092684,0.00003243775,0.01441882,0.0001986867],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"protocol","genre_gemma":"empirical","genre_scores_codex":[0.217362,0.0002277838,0.2157579,0.0003028079,0.0004694658,0.5612729,0.00001363814,0.0008728811,0.003720666],"genre_scores_gemma":[0.669998,0.000009730221,0.001433135,0.00004982423,0.00007865683,0.3282748,0.00007024987,0.0000417487,0.00004376901],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.4526361,"threshold_uncertainty_score":0.9709719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02571139879017367,"score_gpt":0.2711672801821723,"score_spread":0.2454558813919986,"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."}}