{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00322972,0.00009062652,0.0001661509,0.0010693,0.0001463038,0.0005461407,0.0004603374,0.00004383154,0.0003147345],"category_scores_gemma":[0.00101974,0.00007384238,0.00003276222,0.0005696866,0.00005999454,0.003354217,0.0001027381,0.0003727382,0.00002433212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001731173,"about_ca_system_score_gemma":0.0001055645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001196766,"about_ca_topic_score_gemma":0.0004516201,"domain_scores_codex":[0.9977884,0.00008407644,0.0004474451,0.0001752173,0.001322933,0.0001819715],"domain_scores_gemma":[0.9968756,0.0002248643,0.0002023264,0.00009955557,0.002571811,0.00002587708],"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":[0.0203278,0.001210312,0.09757623,0.0001264461,0.0008420545,0.001224868,0.001401901,0.4028144,0.1290512,0.3140514,0.0006320007,0.03074139],"study_design_scores_gemma":[0.0505532,0.000877102,0.3257585,0.003424562,0.0002679969,0.001961018,0.00664191,0.4013316,0.02121829,0.0914318,0.09378037,0.002753694],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905713,0.00006020349,0.0003182559,0.00762813,0.000139449,0.0000860806,0.000001616151,0.000007676028,0.001187265],"genre_scores_gemma":[0.9929488,0.00002337668,0.001477774,0.0005204727,0.004929709,0.000003278559,0.000007709607,0.00001452012,0.00007438331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2281822,"threshold_uncertainty_score":0.5266448,"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."}}