{"id":"W1974589366","doi":"10.1016/j.cam.2006.01.010","title":"Analysis of an<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" altimg=\"si1.gif\" overflow=\"scroll\"><mml:mi>M</mml:mi><mml:mo>/</mml:mo><mml:mo stretchy=\"false\">{</mml:mo><mml:msub><mml:mrow><mml:mi>D</mml:mi></mml:mrow><mml:mrow><mml:mi>n</mml:mi></mml:mrow></mml:msub><mml:mo stretchy=\"false\">}</mml:mo><mml:mo>/</mml:mo><mml:mn>1</mml:mn></mml:math>retrial queue","year":2006,"lang":"lv","type":"article","venue":"Journal of Computational and Applied Mathematics","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Retrial queue; Mathematics; Algorithm; Scroll; Queue; State (computer science); Distribution (mathematics); Discrete mathematics; Queueing theory; Computer science; Queueing system; Statistics; Computer network; Mathematical analysis; Theology","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":[0.002766489,0.0007106487,0.0006635832,0.002851801,0.001582771,0.003338742,0.001703487,0.0007538591,0.02548647],"category_scores_gemma":[0.01296433,0.0003669731,0.001718367,0.001695043,0.0008970479,0.002600229,0.001597906,0.001470784,0.002878967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003335068,"about_ca_system_score_gemma":0.004448378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01721788,"about_ca_topic_score_gemma":0.01553238,"domain_scores_codex":[0.9975937,0.0002850652,0.000110409,0.0003839553,0.001087803,0.0005391083],"domain_scores_gemma":[0.9926736,0.003171885,0.000471751,0.0009178439,0.002425096,0.0003398023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001228249,0.0006727127,0.04138625,0.0006139564,0.0003056414,0.001532557,0.0009348505,0.2164977,0.02462366,0.4554465,0.06867944,0.1880786],"study_design_scores_gemma":[0.00004021131,0.0001199785,0.006645268,0.00007229613,0.00006056511,0.0002147343,0.0001941376,0.8876683,0.01121885,0.08254936,0.01117834,0.0000379847],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1960322,0.0004698711,0.7367285,0.003278679,0.0005012539,0.0005659906,0.008719834,0.006685371,0.04701819],"genre_scores_gemma":[0.7756195,0.0003232668,0.1789076,0.0003684791,0.0001728464,0.0002555421,0.006788367,0.001196557,0.03636786],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02548647,"threshold_uncertainty_score":0.08526075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01450756887818219,"score_gpt":0.2357541103953995,"score_spread":0.2212465415172173,"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."}}