{"id":"W4200065897","doi":"10.1109/mass52906.2021.00035","title":"Mesh Network Reliability Analysis for Ultra-Reliable Low-Latency Services","year":2021,"lang":"en","type":"article","venue":"","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Computer network; Latency (audio); Reliability (semiconductor); Scalability; Network packet; 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":[0.0009663113,0.0004434524,0.0003463119,0.0008491097,0.0003044063,0.0004577121,0.000668876,0.0003433485,0.00159528],"category_scores_gemma":[0.004183638,0.0002053555,0.0005264364,0.0004457843,0.0004476492,0.001173215,0.0005412524,0.0006596466,0.0002266376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001077715,"about_ca_system_score_gemma":0.000634026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00373391,"about_ca_topic_score_gemma":0.002096661,"domain_scores_codex":[0.9995515,0.0001297829,0.00001604282,0.00005458957,0.0001882794,0.00005972465],"domain_scores_gemma":[0.9986028,0.000801714,0.0001406748,0.00006948577,0.0003603956,0.00002492892],"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":[0.00002943325,0.00001270199,0.0008468966,0.00008078384,0.0000194106,0.00009925663,0.00008710153,0.9429156,0.00473447,0.04011885,0.0007924338,0.01026304],"study_design_scores_gemma":[6.191883e-7,0.000006233603,0.0001197557,0.000004263006,0.000002984348,0.00001650337,0.00001177639,0.9950197,0.0002538609,0.004315633,0.0002466596,0.000002027999],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02072132,0.0007024258,0.9750646,0.0002439669,0.00003084659,0.00002433482,0.00005607083,0.00009130386,0.003065076],"genre_scores_gemma":[0.9467111,0.001525689,0.04839177,0.00008367228,0.00008000331,0.00009392853,0.0001238651,0.00007896769,0.002910976],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00373391,"threshold_uncertainty_score":0.007819355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004945188059275867,"score_gpt":0.1996089538473919,"score_spread":0.194663765788116,"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."}}