{"id":"W2104283176","doi":"10.1098/rspb.2010.1469","title":"Optimal antiviral treatment strategies and the effects of resistance","year":2010,"lang":"en","type":"article","venue":"Proceedings of the Royal Society B Biological Sciences","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Outbreak; Antiviral treatment; Optimal control; Attack rate; Resistance (ecology); Coronavirus disease 2019 (COVID-19); Mathematical optimization; Computer science; Mathematics; Medicine; Virology; Biology; Virus; Infectious disease (medical specialty); Ecology; Disease","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001576062,0.0001571285,0.0004189093,0.000005623978,0.0004481259,0.00004803728,0.0005464019,0.0001146214,0.000005969769],"category_scores_gemma":[0.004497339,0.00005214847,0.0002754703,0.0002149335,0.005913977,0.00007277808,0.0003536423,0.0001657521,2.803739e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000161533,"about_ca_system_score_gemma":0.00002401877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006644378,"about_ca_topic_score_gemma":0.0000068463,"domain_scores_codex":[0.9989278,0.00003587448,0.0002778203,0.0002876641,0.0002153181,0.0002555528],"domain_scores_gemma":[0.9955913,0.003908217,0.0003202269,0.000072895,0.00007843816,0.00002887715],"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":[0.0001765746,0.0002884318,0.1948524,0.0004399972,0.0001570414,1.736524e-7,0.003259366,0.000004672364,0.03837591,0.7598115,0.001467454,0.00116646],"study_design_scores_gemma":[0.002022126,0.001666202,0.2217801,0.0001888666,0.0001749896,0.000001380275,0.008254574,0.001570037,0.03683971,0.7262568,0.0008022977,0.0004428398],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952998,0.0003656319,0.00002195751,0.00180839,0.00007342631,0.0003769462,0.000002493803,0.00002869715,0.002022679],"genre_scores_gemma":[0.9927117,0.0002016935,0.006792861,0.0000920653,0.00004593248,0.00003178878,4.346239e-8,0.000002240782,0.0001216854],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0335547,"threshold_uncertainty_score":0.9967914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07737205307636942,"score_gpt":0.3526599234308695,"score_spread":0.2752878703545001,"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."}}