{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001193824,0.0009098554,0.0008764897,0.0008802015,0.0009667714,0.001758782,0.001670972,0.002291169,0.008048656],"category_scores_gemma":[0.00658206,0.0007712925,0.0009484667,0.001180706,0.001097689,0.002208286,0.002081822,0.001446342,0.0006346086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002077226,"about_ca_system_score_gemma":0.002298497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0475802,"about_ca_topic_score_gemma":0.033716,"domain_scores_codex":[0.9988979,0.0006573282,0.00003990478,0.0001010414,0.0001220209,0.0001817994],"domain_scores_gemma":[0.998188,0.001043822,0.0002292313,0.0001311825,0.0002003613,0.0002074921],"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":[0.00002600482,0.00004051065,0.001551879,0.0000289301,0.00002989231,0.00007603785,0.00009097319,0.9648465,0.0001230768,0.02998926,0.0008346104,0.002362364],"study_design_scores_gemma":[0.00006519732,0.00005542049,0.0006017436,0.00002082572,0.00002720842,0.0000443082,0.0001346801,0.9665876,0.00009194497,0.02731375,0.005034015,0.00002333892],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4576707,0.003182155,0.3977005,0.0117985,0.001114368,0.000747568,0.003899794,0.000712908,0.1231735],"genre_scores_gemma":[0.9607446,0.001304425,0.02455738,0.000644759,0.0001414381,0.0002676638,0.0005332584,0.00007938627,0.01172717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0475802,"threshold_uncertainty_score":0.09460646,"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."}}