{"id":"W2030064374","doi":"10.1109/tvt.2012.2200001","title":"Modeling and Delay Analysis of Intermittently Connected Roadside Communication Networks","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Opportunistic and Delay-Tolerant Networks","field":"Computer Science","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Bundle; Queueing theory; Computer network; Computer science; Context (archaeology); Network packet; The Internet; Distributed computing","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":[0.0004705435,0.0006452663,0.0004843901,0.00065801,0.0004196287,0.0008141296,0.001013902,0.0007849565,0.001034321],"category_scores_gemma":[0.002094715,0.0003385757,0.0003899115,0.0005961674,0.0006585537,0.0009262471,0.0005406417,0.0005329699,0.0001866184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00177579,"about_ca_system_score_gemma":0.0007164061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01272473,"about_ca_topic_score_gemma":0.005608895,"domain_scores_codex":[0.9997367,0.00006626028,0.00001178375,0.00006280497,0.00006962706,0.00005278994],"domain_scores_gemma":[0.9992549,0.0003742013,0.0001750825,0.00003188815,0.0001270876,0.00003678879],"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":[0.00001117631,0.000005199097,0.000478065,0.000009479449,0.000005290453,0.00004338417,0.00002912292,0.9905691,0.000504749,0.007133706,0.0001376246,0.001073095],"study_design_scores_gemma":[6.666859e-7,0.000002941803,0.00005508456,8.56646e-7,0.000001218887,0.000005196081,0.000004908369,0.9987082,0.00004829156,0.001074403,0.0000967753,0.000001358367],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.241441,0.000962268,0.7473679,0.0006414679,0.00006256091,0.00007661417,0.0003358059,0.000290445,0.008821872],"genre_scores_gemma":[0.98862,0.0004699116,0.008101473,0.00003007298,0.00002654391,0.00004580153,0.00009861395,0.0000272581,0.002580347],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01272473,"threshold_uncertainty_score":0.02530134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01523892073542964,"score_gpt":0.2383245204603154,"score_spread":0.2230855997248858,"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."}}