{"id":"W2030386659","doi":"10.3934/mbe.2013.10.1691","title":"Optimal isolation strategies of emerging infectious diseases with limited resources","year":2013,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; National University of Defense Technology; Canada Research Chairs; International Development Research Centre","keywords":"Isolation (microbiology); Optimal control; Limited resources; Mathematical optimization; Population; Control (management); Patient isolation; Computer science; Outbreak; Mathematics; Biology; Statistics; Virology; Medicine; Artificial intelligence; Bioinformatics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001161939,0.0008723609,0.0009332782,0.0007072291,0.0003126859,0.001035712,0.001271312,0.0009750081,0.00175635],"category_scores_gemma":[0.004554025,0.0005527776,0.0006417205,0.0003346057,0.001011378,0.001250437,0.001417025,0.0007031122,0.0001957081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008928202,"about_ca_system_score_gemma":0.0009338004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001987271,"about_ca_topic_score_gemma":0.001000807,"domain_scores_codex":[0.9992293,0.0003347159,0.0000414115,0.0001308628,0.00009539541,0.0001682566],"domain_scores_gemma":[0.9982688,0.0009952073,0.0003705539,0.00008244301,0.0001441928,0.0001386919],"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":[0.0001553373,0.0001049334,0.0008183616,0.0001489128,0.00007482124,0.0002142462,0.0001024562,0.9115986,0.004322408,0.06781416,0.001030854,0.01361483],"study_design_scores_gemma":[0.00003609473,0.00008004272,0.0003320226,0.00002129774,0.00002713426,0.00003921718,0.00006250931,0.9699276,0.0007424623,0.02816375,0.0005530798,0.00001482498],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2645436,0.001564717,0.7192887,0.001236457,0.0000951828,0.0001299182,0.0001314778,0.0001911465,0.01281888],"genre_scores_gemma":[0.9752965,0.0004763627,0.02131849,0.0001292198,0.0000300747,0.0001015073,0.00005864949,0.00002397559,0.002565087],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001987271,"threshold_uncertainty_score":0.006477892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05105509592495362,"score_gpt":0.3175036127625334,"score_spread":0.2664485168375798,"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."}}