{"id":"W2156761946","doi":"10.1016/j.ejor.2012.11.030","title":"A Markovian queueing model for ambulance offload delays","year":2012,"lang":"en","type":"article","venue":"European Journal of Operational Research","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":71,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Overcrowding; Queueing theory; Computer science; Queue; Emergency department; Markov process; Markov chain; Computer network; Medicine; Statistics; Nursing","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":[],"consensus_categories":[],"category_scores_codex":[0.009638863,0.0001082496,0.0001676968,0.0004513182,0.0004314675,0.0002779177,0.0004246942,0.00001693601,0.0001587623],"category_scores_gemma":[0.001659103,0.00009164666,0.0001277294,0.0003761421,0.00007803891,0.00225729,0.0001462434,0.0003490886,0.0001970987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006772849,"about_ca_system_score_gemma":0.00006718628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004051807,"about_ca_topic_score_gemma":0.000003349186,"domain_scores_codex":[0.9981577,0.000175895,0.0004356616,0.0001304101,0.0006869986,0.000413277],"domain_scores_gemma":[0.9979547,0.0002227976,0.0002057558,0.0001588588,0.001410102,0.00004777609],"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":[0.001611414,0.0005717108,0.006895848,0.0002369404,0.000343551,0.0001173055,0.0008836634,0.362748,0.02055476,0.5293102,0.05170006,0.02502653],"study_design_scores_gemma":[0.001540126,0.0000765123,0.003362681,0.0001916129,0.00007517083,0.00004423704,0.0003871433,0.8713542,0.0002255772,0.01078436,0.11157,0.0003883587],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3696878,0.0008712218,0.5666899,0.005280449,0.0004565708,0.0004594334,0.00000965491,0.00004380926,0.05650115],"genre_scores_gemma":[0.983741,0.00001279638,0.01049207,0.0007181745,0.003402412,0.000004239701,0.000008473628,0.00004019135,0.001580571],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6140532,"threshold_uncertainty_score":0.3737242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1082921508500954,"score_gpt":0.3577038544373128,"score_spread":0.2494117035872174,"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."}}