{"id":"W4387582196","doi":"10.1016/j.iot.2023.100963","title":"MDP-based connectivity and availability models for Internet of Vehicles","year":2023,"lang":"en","type":"article","venue":"Internet of Things","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Brock University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Reliability (semiconductor); Predictability; Distributed computing; Computer network; Network topology; The Internet; Resource (disambiguation); Cellular network; Vehicular ad hoc network; Wireless ad hoc network; Wireless; Telecommunications; World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001803088,0.0007709089,0.001114213,0.001244127,0.0006197128,0.001382948,0.002172042,0.001207802,0.00283176],"category_scores_gemma":[0.006643501,0.0005917013,0.0007604405,0.001502132,0.0007946952,0.002779567,0.00113474,0.001515097,0.0003232494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002045993,"about_ca_system_score_gemma":0.00135637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01184656,"about_ca_topic_score_gemma":0.007100576,"domain_scores_codex":[0.9992126,0.000282834,0.00004692683,0.0001133434,0.0002245554,0.0001196711],"domain_scores_gemma":[0.9970175,0.002070243,0.0002459977,0.0001307189,0.0004254364,0.0001101629],"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":[0.0000282889,0.00001908015,0.0001569818,0.00003045498,0.00001128752,0.00003123824,0.00002397592,0.9664196,0.0001317625,0.02771933,0.0007474762,0.004680576],"study_design_scores_gemma":[0.000002284569,0.000004800718,0.00002392894,0.000002525674,0.000003003113,0.00000597606,0.000003472474,0.99245,0.00002811965,0.007283201,0.0001909182,0.000001754954],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02722804,0.001155227,0.963077,0.001116238,0.000142954,0.00008991676,0.0006488944,0.0003212489,0.006220461],"genre_scores_gemma":[0.9220562,0.001604772,0.06831554,0.0001733497,0.0001560555,0.000260013,0.0006200853,0.0001070563,0.00670701],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01184656,"threshold_uncertainty_score":0.02355522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01785004353761749,"score_gpt":0.2280977087826379,"score_spread":0.2102476652450204,"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."}}