{"id":"W3041067011","doi":"10.1136/bmjopen-2020-037084","title":"Modelling patient flows and resource use within a sexual health clinic through discrete event simulation to inform service redesign","year":2020,"lang":"en","type":"article","venue":"BMJ Open","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Population and Public Health","funders":"National Institute for Health Research Applied Research Collaboration West; Department of Health and Social Care; National Institute for Health and Care Research","keywords":"Medicine; Discrete event simulation; Service (business); Service delivery framework; Sampling (signal processing); Event (particle physics); Duration (music); Reproductive health; Medical emergency; Operations management; Simulation; Computer science; Environmental health; Telecommunications; Population","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001793578,0.0001797477,0.0003764638,0.00004183981,0.001384723,0.0001401723,0.0002056882,0.0001564949,0.00009914408],"category_scores_gemma":[0.0005293493,0.0001580831,0.00002062484,0.0005000941,0.000008512432,0.0007698255,0.0004201589,0.0004227671,0.0001443095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001527025,"about_ca_system_score_gemma":0.001031989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003946399,"about_ca_topic_score_gemma":0.001085575,"domain_scores_codex":[0.9966562,0.0008740549,0.00132346,0.0004397652,0.0003208608,0.0003856972],"domain_scores_gemma":[0.9980662,0.0003954183,0.0004258262,0.0003841978,0.0002934633,0.0004349107],"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":[0.0003924056,0.00001577632,0.0004618184,0.0002292382,0.000009128999,9.452859e-7,0.08308409,0.9130833,0.000002678248,0.0002062572,0.001427244,0.001087106],"study_design_scores_gemma":[0.0006389702,0.0005330403,0.0001192471,0.0003943297,0.000007241531,4.964502e-7,0.01012808,0.9695131,0.000001216892,0.00004348582,0.01842782,0.0001929505],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2856834,0.00002988521,0.5741351,0.1124192,0.0002488933,0.02640453,0.0001027851,0.0001367024,0.0008395285],"genre_scores_gemma":[0.6631235,0.00001651149,0.2309302,0.1029315,0.00029551,0.001462092,0.0003574789,0.0000762715,0.0008069187],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3774401,"threshold_uncertainty_score":0.9999154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4669877259216273,"score_gpt":0.5378433195534633,"score_spread":0.07085559363183602,"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."}}