{"id":"W2033039903","doi":"10.1080/17513758.2013.816377","title":"Optimality of a time-dependent treatment profile during an epidemic","year":2013,"lang":"en","type":"article","venue":"Journal of Biological Dynamics","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Stockpile; Drug resistance; Epidemic control; Population; Epidemic model; Transmissibility (structural dynamics); Basic reproduction number; Drug; Biology; Mathematical optimization; Virology; Medicine; Mathematics; Infectious disease (medical specialty); Coronavirus disease 2019 (COVID-19); Environmental health; Pharmacology; Disease; Microbiology; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001357022,0.0002543273,0.001097861,0.00007165159,0.00008508161,0.00001434246,0.0003565108,0.0002336168,0.0004887464],"category_scores_gemma":[0.004214417,0.0001348409,0.0003642284,0.0001153346,0.0001954745,0.0001404206,0.0001652074,0.0002728895,0.00003562529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005014277,"about_ca_system_score_gemma":0.0000398489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009823292,"about_ca_topic_score_gemma":0.00001551703,"domain_scores_codex":[0.9972873,0.0005340574,0.001340709,0.0002501229,0.0002299037,0.0003579489],"domain_scores_gemma":[0.995848,0.002261872,0.001128459,0.0002802994,0.0002850823,0.000196271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001825947,0.010359,0.8386595,0.0006398832,0.002233528,0.0002855887,0.0009402632,0.003824407,0.07413743,0.02080552,0.001367359,0.04492157],"study_design_scores_gemma":[0.003584344,0.01167256,0.5768553,0.0002515916,0.0003193849,0.0003207329,0.0007282409,0.05474338,0.002444181,0.3479758,0.0001469376,0.0009575735],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950486,0.0001424436,0.003225013,0.0007345113,0.00006908884,0.0003847952,0.00003622915,0.00004051313,0.0003188047],"genre_scores_gemma":[0.9758552,0.0003646706,0.02332389,0.00008969256,0.0001197606,0.00002096063,0.000005059067,0.000012552,0.0002082694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3271703,"threshold_uncertainty_score":0.5498651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1924141621535335,"score_gpt":0.4086082526438257,"score_spread":0.2161940904902922,"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."}}