{"id":"W2027036374","doi":"10.1239/jap/1101840557","title":"Pair formation in a Markovian arrival process with two event labels","year":2004,"lang":"en","type":"article","venue":"Journal of Applied Probability","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Markovian arrival process; Point process; Mathematics; Markov process; Event (particle physics); Process (computing); Poisson distribution; Cox process; Stochastic process; Compound Poisson process; Markov renewal process; Markov chain; Security token; Poisson point process; Rare events; Renewal theory; Time reversibility; Poisson process; Statistical physics; Statistics; Computer science; Variable-order Markov model; Markov model; Computer network","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":[0.009955421,0.0008504421,0.001590975,0.001863334,0.002098293,0.00432132,0.002548931,0.003248771,0.007380847],"category_scores_gemma":[0.02935145,0.001252945,0.00179418,0.001511942,0.00386674,0.006821629,0.004655251,0.003118245,0.001683703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002061972,"about_ca_system_score_gemma":0.001237187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001708955,"about_ca_topic_score_gemma":0.001131353,"domain_scores_codex":[0.9927174,0.002960388,0.0003875131,0.001230379,0.001850222,0.0008540322],"domain_scores_gemma":[0.9711807,0.01951277,0.003962764,0.001888256,0.001827828,0.001627654],"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":[0.00051112,0.0002077748,0.006079896,0.000119143,0.00008184715,0.001923739,0.002117087,0.07190415,0.00401096,0.8982279,0.001077327,0.01373903],"study_design_scores_gemma":[0.0001777314,0.0002731087,0.001225597,0.00005537928,0.00009562468,0.0007007006,0.0004450512,0.6002566,0.003827841,0.3899231,0.002863815,0.000155409],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2821915,0.0004072166,0.7030899,0.001252822,0.0001837212,0.0003533815,0.0001750659,0.0004948553,0.01185157],"genre_scores_gemma":[0.9197049,0.0003017344,0.06519566,0.000207368,0.0001752063,0.0004142533,0.0002004506,0.00008575501,0.01371478],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009955421,"threshold_uncertainty_score":0.05264992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009928139260193062,"score_gpt":0.2365557139333344,"score_spread":0.2266275746731413,"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."}}