{"id":"W2084179772","doi":"10.1504/ijor.2005.007432","title":"An M/G/1 retrial queue with balking and retrials during service","year":2005,"lang":"en","type":"article","venue":"International Journal of Operational Research","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Retrial queue; Computer science; Queue; Service (business); Position (finance); Computer network; Joint probability distribution; Real-time computing; Queueing system; Mathematics; Business; Statistics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002757952,0.001741576,0.002460123,0.001158331,0.002073915,0.00296744,0.004563611,0.003714723,0.003966399],"category_scores_gemma":[0.004301023,0.0009788624,0.001527538,0.001898607,0.002185969,0.002539922,0.002224817,0.002299089,0.0006866797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002891585,"about_ca_system_score_gemma":0.002536859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02415574,"about_ca_topic_score_gemma":0.01257921,"domain_scores_codex":[0.9976637,0.0004807814,0.0001144067,0.0004888904,0.0003119356,0.0009402625],"domain_scores_gemma":[0.9970366,0.0008040318,0.0006818473,0.0002188846,0.0006081085,0.0006505661],"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":[0.001643265,0.000453219,0.005501317,0.0002424595,0.0001311935,0.003063709,0.0004712125,0.8999273,0.009904906,0.06473903,0.00333322,0.01058928],"study_design_scores_gemma":[0.0001572104,0.000194281,0.0007514008,0.000009999065,0.00006155287,0.0001575358,0.0000829198,0.9872595,0.0007498023,0.009926989,0.0005965377,0.00005211653],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6539438,0.001425442,0.3256633,0.002798008,0.0005376178,0.0003904764,0.001115896,0.0008768882,0.01324848],"genre_scores_gemma":[0.9756884,0.0003281721,0.01519349,0.0002413845,0.0002128507,0.00009342332,0.0001815449,0.00004696769,0.008013762],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02415574,"threshold_uncertainty_score":0.04803026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04888835608910215,"score_gpt":0.3791700964658644,"score_spread":0.3302817403767622,"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."}}