{"id":"W4293576925","doi":"10.2139/ssrn.4197121","title":"The Effects of Information Granularity on Abandonment and Congestion in Non-Stationary Priority Queues","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canada Research Chairs; Western University; University of Toronto","funders":"","keywords":"Abandonment (legal); Granularity; Queue; Priority queue; Computer science; Business; Queueing theory; Computer network; Political science; Operating system","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":[0.009514349,0.0004164104,0.001192231,0.001347845,0.00128345,0.004006549,0.001646787,0.001398378,0.004644856],"category_scores_gemma":[0.08501033,0.000845467,0.0005540707,0.001372891,0.002883681,0.004483608,0.001695059,0.002681598,0.0002065818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003465893,"about_ca_system_score_gemma":0.002090812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006427433,"about_ca_topic_score_gemma":0.004663962,"domain_scores_codex":[0.9968489,0.001189506,0.0001801936,0.0002790997,0.0004920691,0.001010319],"domain_scores_gemma":[0.7634752,0.2098889,0.01100817,0.005542198,0.003660707,0.006424778],"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":[0.01268961,0.002578696,0.07415149,0.0004451068,0.0003074661,0.001669535,0.00433272,0.6485751,0.02993932,0.1573863,0.003020316,0.06490422],"study_design_scores_gemma":[0.0004313271,0.001184917,0.03762227,0.00006837666,0.0002970078,0.0002908696,0.001524535,0.877409,0.006271515,0.07431868,0.0004129134,0.0001686688],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864721,0.0002741049,0.01042669,0.0005458448,0.00004468137,0.00002178321,0.00006057421,0.0001001802,0.002053928],"genre_scores_gemma":[0.9991328,0.00005038301,0.0004932718,0.00002097786,0.00001435936,0.000003611673,0.00001022231,0.000009866512,0.0002645614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009514349,"threshold_uncertainty_score":0.05031729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002181246481610461,"score_gpt":0.1973537762807317,"score_spread":0.1951725297991212,"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."}}