{"id":"W1973541279","doi":"10.1186/1471-2334-9-8","title":"Antiviral resistance during pandemic influenza: implications for stockpiling and drug use","year":2009,"lang":"en","type":"article","venue":"BMC Infectious Diseases","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg; University of Manitoba; National Research Council Canada; National Research Council Institute for Biodiagnostics","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Pandemic; Outbreak; Drug resistance; Basic reproduction number; Antiviral drug; Medical microbiology; Population; Medicine; Public health; Intensive care medicine; Drug; Antiviral treatment; Environmental health; Virology; Virus; Biology; Coronavirus disease 2019 (COVID-19); Pharmacology; Disease; Infectious disease (medical specialty); 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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0001944463,0.0001860171,0.0003252694,0.00005942241,0.0005815839,0.00005713366,0.00008353654,0.0000543579,0.000002412555],"category_scores_gemma":[0.009376627,0.0001602209,0.0001287824,0.0001356978,0.00008308946,0.000192882,0.0000616933,0.00008656248,0.000001999163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001115957,"about_ca_system_score_gemma":0.00003075281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001921217,"about_ca_topic_score_gemma":0.0004319048,"domain_scores_codex":[0.9988456,0.00008911175,0.0003316352,0.0003581511,0.00007096592,0.0003044953],"domain_scores_gemma":[0.9953153,0.00406762,0.000156066,0.0002751729,0.00009177308,0.00009410503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006913377,0.0001207798,0.9838774,0.0001899917,0.00002442643,4.267723e-7,0.0000721598,0.00002782602,0.000169073,0.01424382,0.0008460782,0.0003589074],"study_design_scores_gemma":[0.0006126562,0.00002927152,0.8190716,0.00005023714,0.00008706377,0.000001332726,0.00001627885,0.00002093036,0.00001887152,0.1792594,0.0006550599,0.0001773378],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925613,0.0009110572,0.004923122,0.000210993,0.00003283825,0.0006660614,0.00009832445,0.0004718797,0.0001244221],"genre_scores_gemma":[0.9974725,0.0001116121,0.001545015,0.0004439996,0.0001069527,0.0001737429,0.000003418774,0.00001550024,0.0001273154],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1650156,"threshold_uncertainty_score":0.9989678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1683462184382824,"score_gpt":0.4157507597740762,"score_spread":0.2474045413357938,"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."}}