{"id":"W28851383","doi":"10.1186/s12978-017-0358-6","title":"A comparison of discrete event simulation and system dynamics for modelling health care systems","year":2001,"lang":"en","type":"book-chapter","venue":"Reproductive Health","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":182,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Commission for Science, Technology and Innovation; International Development Research Centre","keywords":"Discrete event simulation; MODELLER; Computer science; Simple (philosophy); System dynamics; Domain (mathematical analysis); Event (particle physics); Preference; Dynamics (music); Management science; Risk analysis (engineering); Simulation; Medicine; Engineering; Artificial intelligence; Mathematics; Psychology; 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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.002164192,0.0004328761,0.001695022,0.0003008443,0.001694083,0.00001942378,0.0001123985,0.000530878,0.00001034057],"category_scores_gemma":[0.0000987403,0.0004235687,0.0001261688,0.0001016486,0.00006557618,0.0001131417,0.00006260919,0.0008345972,0.00001211578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003696915,"about_ca_system_score_gemma":0.002742777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001712915,"about_ca_topic_score_gemma":0.0005245917,"domain_scores_codex":[0.9946185,0.0005762723,0.002617464,0.001131571,0.0004215677,0.0006346244],"domain_scores_gemma":[0.9940359,0.0003989318,0.002719607,0.0008485576,0.001674608,0.0003223982],"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":[0.0001253988,0.00002337676,0.0002890351,0.01800923,0.00005934291,2.374953e-7,0.009959398,0.8045768,1.130389e-7,0.1633099,0.0003594185,0.003287732],"study_design_scores_gemma":[0.0005115732,0.0006235595,0.00001755283,0.005324539,0.00003975955,0.000002546325,0.01231194,0.9533098,1.640358e-7,0.0001375044,0.02741193,0.0003091396],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0003407778,0.02280683,0.9437421,0.003718598,0.001918439,0.01257723,0.001300325,0.0001566342,0.01343909],"genre_scores_gemma":[0.9207757,0.001897697,0.01470075,0.0002112035,0.002038341,0.0005736046,0.003966073,0.0003258485,0.05551076],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9290413,"threshold_uncertainty_score":0.9998216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1617721857092578,"score_gpt":0.4908130662110117,"score_spread":0.329040880501754,"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."}}