{"id":"W3101805011","doi":"10.22215/etd/2020-14163","title":"Equilibrium Behaviour of Double-Sided Queueing System with Dependent Matching Time","year":2020,"lang":"en","type":"dissertation","venue":"","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Taxis; Queueing theory; Matching (statistics); Context (archaeology); Observable; Terminal (telecommunication); Pickup; Computer science; Mathematical optimization; Queue; Operations research; Mathematics; Engineering; Statistics; Transport engineering; Computer network; Physics; Artificial intelligence; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003074284,0.0004559816,0.0008029796,0.0004140038,0.0000984408,0.0002354874,0.0004623673,0.0001868969,0.00038191],"category_scores_gemma":[0.00002936611,0.0003929771,0.000210061,0.0005858504,0.00002101238,0.0009995926,0.0001195671,0.0003145795,0.0003632619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007954351,"about_ca_system_score_gemma":0.00004891506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001462164,"about_ca_topic_score_gemma":0.00057175,"domain_scores_codex":[0.9978492,0.00001816981,0.0006624866,0.0005827866,0.0005769128,0.0003104803],"domain_scores_gemma":[0.9980671,0.00005541031,0.001141489,0.0004107393,0.0003030306,0.00002225716],"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":[0.01255375,0.0005735676,0.005251701,0.03327171,0.004115285,0.001170308,0.002532106,0.07010888,0.1006442,0.7660561,0.001115381,0.002607047],"study_design_scores_gemma":[0.0389517,0.0006730289,0.006381626,0.067935,0.05762003,0.0001676594,0.23456,0.3361566,0.1923957,0.03224051,0.004100132,0.02881795],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.802722,0.00008631528,0.003702951,0.0001024759,0.0004045375,0.000736871,0.000005785077,0.0008923214,0.1913467],"genre_scores_gemma":[0.9878629,8.041276e-7,0.0005646638,0.00009045149,0.0004488743,0.00003340684,0.000978734,0.0001419354,0.00987826],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7338156,"threshold_uncertainty_score":0.9998522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01013936365732795,"score_gpt":0.2285121440271976,"score_spread":0.2183727803698697,"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."}}