{"id":"W2002087380","doi":"10.1007/s00285-010-0341-0","title":"Optimal control of epidemics with limited resources","year":2010,"lang":"en","type":"article","venue":"Journal of Mathematical Biology","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":205,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Optimal control; Isolation (microbiology); Epidemic model; Mathematical optimization; Vaccination policy; Vaccination; Computer science; Epidemic control; Mathematics; Operations research; Infectious disease (medical specialty); Coronavirus disease 2019 (COVID-19); Biology; Medicine; Virology; 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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.003265068,0.0002221835,0.00142457,0.0001227826,0.00005535012,0.000007347001,0.0004426168,0.0002898492,0.0002583366],"category_scores_gemma":[0.02531675,0.0001157953,0.0002651874,0.0001546796,0.0006821128,0.00005173669,0.00009567213,0.0007732606,0.00001125337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002317988,"about_ca_system_score_gemma":0.00004812631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002419366,"about_ca_topic_score_gemma":0.00000408695,"domain_scores_codex":[0.9974783,0.0003189645,0.00145905,0.0001758109,0.0002217555,0.0003461347],"domain_scores_gemma":[0.9802672,0.017508,0.001360786,0.000300294,0.0004027027,0.0001610004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001968906,0.001746587,0.06077402,0.0007772556,0.001525951,0.00009521889,0.001277431,0.0001280657,0.04764196,0.8772956,0.003930067,0.002838962],"study_design_scores_gemma":[0.002829622,0.002930654,0.004105592,0.0002384934,0.0004515393,0.0005689446,0.0002807931,0.00161611,0.001483359,0.9795216,0.00562053,0.0003528144],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8769187,0.0001230003,0.1182618,0.003748969,0.00009970173,0.0001775341,0.00001044928,0.00002474784,0.0006351441],"genre_scores_gemma":[0.8504552,0.00002486592,0.1488951,0.0003831886,0.000194515,0.000004900246,3.137974e-7,0.00001591556,0.00002601882],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.102226,"threshold_uncertainty_score":0.9828934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1172727671101046,"score_gpt":0.3926251965887146,"score_spread":0.2753524294786101,"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."}}