{"id":"W2036241097","doi":"10.1109/icc.2013.6654718","title":"A fast location-based handoff scheme for vehicular networks","year":2013,"lang":"en","type":"article","venue":"","topic":"IPv6, Mobility, Handover, Networks, Security","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Handover; Computer science; Computer network; Scheme (mathematics); Latency (audio); Real-time computing; Vehicular ad hoc network; Low latency (capital markets); Wireless; Wireless ad hoc network; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000200985,0.0002299172,0.000237059,0.00005120173,0.00008610529,0.000102934,0.0001795129,0.0001877612,0.0004321607],"category_scores_gemma":[0.00003824173,0.0002220331,0.0001121449,0.0002420379,0.00004450645,0.0001903309,0.00002564121,0.0001891923,0.0001295739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009758979,"about_ca_system_score_gemma":0.00002730618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008419809,"about_ca_topic_score_gemma":0.0001115059,"domain_scores_codex":[0.9987931,0.00002085761,0.0002907674,0.00026356,0.0001510111,0.0004806833],"domain_scores_gemma":[0.9990254,0.0001661532,0.00003071979,0.000442651,0.0002030096,0.0001320889],"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":[0.00001729752,0.00006699387,0.001180102,0.0001832808,0.00006331933,7.544401e-7,0.00005222851,0.971624,0.000395482,0.0005623103,0.02031326,0.005540945],"study_design_scores_gemma":[0.001030909,0.00003021855,0.0009764338,0.00002927993,0.00001872434,7.469182e-7,0.00002096964,0.9917856,0.001021225,0.000228315,0.004584316,0.0002732279],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06317196,0.0009519628,0.9312525,0.0001291371,0.0007674937,0.001381691,0.000004717337,0.0007441024,0.001596399],"genre_scores_gemma":[0.9891663,0.000009994006,0.008971988,0.0003165016,0.0004427142,0.0006520075,0.00006307026,0.00006162671,0.0003157784],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9259943,"threshold_uncertainty_score":0.9054245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005702148047878133,"score_gpt":0.1894570155157987,"score_spread":0.1837548674679206,"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."}}