{"id":"W3116864705","doi":"10.1109/iemcon51383.2020.9284948","title":"A Simplistic View on Latency of Random Access in Cellular Internet of Things","year":2020,"lang":"en","type":"article","venue":"","topic":"IoT Networks and Protocols","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"British Columbia Institute of Technology","funders":"British Columbia Institute of Technology","keywords":"Computer science; Latency (audio); Internet of Things; Random access; Computer network; The Internet; Trimming; Process (computing); Distributed computing; Telecommunications; Computer security; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008173705,0.0000696452,0.0002136873,0.00002646697,0.000002280455,0.000008411792,0.0001618027,0.00003841909,0.000312221],"category_scores_gemma":[0.00001712557,0.00005679293,0.00003695453,0.0001359317,0.000008266513,0.00006508736,0.00003218994,0.00009336723,0.000008767402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006064257,"about_ca_system_score_gemma":0.000003601048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005861923,"about_ca_topic_score_gemma":0.000003042206,"domain_scores_codex":[0.9995299,0.00001447642,0.0002350102,0.00006964605,0.00006422523,0.0000867532],"domain_scores_gemma":[0.9998005,0.00005873369,0.00002609621,0.00007570054,0.0000112342,0.00002770836],"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":[0.002912279,0.0004755009,0.01209369,0.02125397,0.0004695083,0.0001621357,0.01825295,0.67099,0.05078724,0.03220247,0.0342989,0.1561013],"study_design_scores_gemma":[0.003412526,0.0002694674,0.0007377804,0.0008121394,0.00001874643,5.12005e-7,0.00002106456,0.908097,0.07933579,0.001556694,0.005459581,0.0002787194],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4840333,0.001507189,0.2824466,0.000654006,0.0005185542,0.01958561,0.00001120766,0.000526768,0.2107168],"genre_scores_gemma":[0.9994998,0.00001796336,0.000141408,0.0001470921,0.00002227777,0.0001258367,0.000001763188,0.00001100459,0.00003284773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5154665,"threshold_uncertainty_score":0.3418601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02789333052534743,"score_gpt":0.255628277897846,"score_spread":0.2277349473724986,"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."}}