{"id":"W4213432281","doi":"10.1109/wsc52266.2021.9715373","title":"A Queueing Model for Video Analytics Applications of Smart Cities","year":2021,"lang":"en","type":"article","venue":"2021 Winter Simulation Conference (WSC)","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Ryerson University","keywords":"Computer science; Queueing theory; Cloud computing; Analytics; Scheduling (production processes); Real-time computing; Enhanced Data Rates for GSM Evolution; Distributed computing; Set (abstract data type); Mathematical optimization; Operating system; Database; Computer network; Artificial intelligence","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":[0.0002010669,0.0001322577,0.0002123599,0.0001200007,0.0001193323,0.0001748425,0.0004593167,0.00004520972,0.00003664347],"category_scores_gemma":[0.00007004275,0.0001365142,0.0001368882,0.0003535744,0.00003968964,0.00004850619,0.0003355409,0.00008157707,0.000009463214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003528123,"about_ca_system_score_gemma":0.0001467664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001120238,"about_ca_topic_score_gemma":0.00002771557,"domain_scores_codex":[0.9987513,0.00004311247,0.0003767909,0.0004010854,0.0002281302,0.000199536],"domain_scores_gemma":[0.9983233,0.0002581507,0.0001644216,0.0006085394,0.000588425,0.00005720207],"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":[0.000004895194,0.00004243614,0.000238627,0.00005461402,0.00004353399,0.000001343162,0.001290263,0.918337,0.00008957849,0.05563328,0.00016396,0.02410047],"study_design_scores_gemma":[0.0002483054,0.0000243717,0.0001164253,0.00006754562,0.00002163747,9.838457e-7,0.0002021554,0.9860575,0.0005269976,0.008246268,0.004342961,0.0001449144],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008997601,0.00004960039,0.9872279,0.0007224602,0.0001171373,0.0002412159,0.000007671006,0.00006451271,0.002571955],"genre_scores_gemma":[0.961547,0.000002045851,0.03475662,0.0002644531,0.00007482715,0.00003752641,0.000008338099,0.000008950125,0.003300285],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9525493,"threshold_uncertainty_score":0.5566887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04760270942400276,"score_gpt":0.2910909327173837,"score_spread":0.243488223293381,"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."}}