{"id":"W2970396343","doi":"10.1155/2019/7398658","title":"Analytically Explicit Results for the Distribution of the Number of Customers Served during a Busy Period for Special Cases of the <i>M/G/</i>1 Queue","year":2019,"lang":"en","type":"article","venue":"Journal of Probability and Statistics","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Algorithm; Computer science; Database","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":[0.002393574,0.001642127,0.001495445,0.002745165,0.001154392,0.00251876,0.002239106,0.001545644,0.006716166],"category_scores_gemma":[0.01851542,0.0007143895,0.001558621,0.001535514,0.002431308,0.004189913,0.001820088,0.003475278,0.00172751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0032451,"about_ca_system_score_gemma":0.00247984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005973344,"about_ca_topic_score_gemma":0.005218665,"domain_scores_codex":[0.9987183,0.0002794976,0.00005931457,0.000130199,0.0004013904,0.0004114135],"domain_scores_gemma":[0.9928007,0.004693259,0.0007959894,0.0003577518,0.001014458,0.0003377984],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000273584,0.0003586843,0.004403359,0.0005465239,0.0001166984,0.001698083,0.002127467,0.3550277,0.0133067,0.5694712,0.01117861,0.04149128],"study_design_scores_gemma":[0.00002265257,0.00002982729,0.0008674376,0.00008753017,0.00003333941,0.0004690041,0.0003188218,0.8888596,0.002040027,0.1043384,0.002870805,0.00006252035],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1332269,0.006055297,0.8026382,0.003185651,0.000410724,0.0001615756,0.0004920924,0.0009614143,0.05286811],"genre_scores_gemma":[0.8756405,0.005503981,0.09632614,0.0009957354,0.0008432423,0.0002138183,0.0006085384,0.001081121,0.01878691],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006716166,"threshold_uncertainty_score":0.02354497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.017395357845468,"score_gpt":0.2574342214318702,"score_spread":0.2400388635864022,"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."}}