{"id":"W3140904222","doi":"10.1109/wsc.2010.5678921","title":"Incorporating healthcare systems in pandemic models","year":2010,"lang":"en","type":"article","venue":"Proceedings of the 2010 Winter Simulation Conference","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Centre for Addiction and Mental Health","keywords":"Pandemic; Health care; Healthcare system; Public healthcare; Disease; Public health; Homogeneous; Influenza pandemic; Population; Coronavirus disease 2019 (COVID-19); Medicine; Medical emergency; Computer science; Infectious disease (medical specialty); Environmental health; Economic growth; Nursing; Economics; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001092167,0.0001604302,0.0003755296,0.00006884228,0.0000850326,0.00003900861,0.0004468414,0.0001565994,0.00001242464],"category_scores_gemma":[0.00364473,0.0001052961,0.00007138454,0.0001902574,0.0001227965,0.0002575991,0.0002839432,0.0005114604,0.000002947064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000528411,"about_ca_system_score_gemma":0.00004089746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003034172,"about_ca_topic_score_gemma":0.0002362788,"domain_scores_codex":[0.9986098,0.00002633178,0.0006489794,0.0002735198,0.0002320502,0.0002092641],"domain_scores_gemma":[0.9975739,0.001030905,0.0005970242,0.0001636447,0.0005860736,0.00004849971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005819935,0.00008423789,0.6082662,0.000745732,0.0000264323,1.975506e-7,0.002446507,0.008109679,0.01118813,0.3674822,0.0004049604,0.001187549],"study_design_scores_gemma":[0.0002657731,0.00003087731,0.01951271,0.0003290076,0.00001106379,0.00000148598,0.0003101373,0.5191291,0.0002102538,0.4599753,0.00007216088,0.0001521762],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921845,0.00002955552,0.003603383,0.0020213,0.0004526951,0.0005842651,0.000005884786,0.0000856654,0.001032797],"genre_scores_gemma":[0.9980764,0.00000368616,0.001514741,0.0001343031,0.00007587959,0.00003399584,4.177702e-7,0.00001239327,0.0001482258],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5887535,"threshold_uncertainty_score":0.4363346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3292416673496675,"score_gpt":0.4176226055711504,"score_spread":0.08838093822148296,"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."}}