{"id":"W2575639384","doi":"10.1371/currents.outbreaks.602dfa010991dbe510c51d5107b02343","title":"Strategic Interactions in Antiviral Drug Use During an Influenza Pandemic","year":2017,"lang":"en","type":"article","venue":"PLoS Currents","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Pandemic; Influenza pandemic; Antiviral drug; Coronavirus disease 2019 (COVID-19); Drug; H1n1 pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Virology; Influenza A virus; Medicine; Computer science; Data science; Virus; Pharmacology; Infectious disease (medical specialty); Disease; Pathology; Outbreak","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":[],"consensus_categories":[],"category_scores_codex":[0.0001262759,0.0001738497,0.0002875918,0.0002282414,0.0003918128,0.0001784004,0.0002455782,0.00003758951,0.0000552718],"category_scores_gemma":[0.0005719325,0.0001538285,0.00005960002,0.00007905313,0.0001487146,0.001216961,0.0002213672,0.0006371782,0.0001761437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001592965,"about_ca_system_score_gemma":0.0000750931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004503646,"about_ca_topic_score_gemma":0.0006271987,"domain_scores_codex":[0.9985327,0.000070177,0.0002800182,0.0003116318,0.0003641215,0.0004413293],"domain_scores_gemma":[0.9989237,0.00005039446,0.0001180093,0.0006401245,0.0001227405,0.0001451014],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002221629,0.0004588688,0.9884161,0.000117972,0.0000696701,0.00005569481,0.00071855,0.000002905521,0.00911332,0.00002330252,0.00004856424,0.0007529355],"study_design_scores_gemma":[0.002578714,0.00004785935,0.9926396,0.0005729285,0.00003441927,0.000006563887,0.0002904659,0.0005598813,0.002512262,0.00009104319,0.0004979261,0.0001683601],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974769,0.0001097594,2.122259e-7,0.00005282577,0.0002012522,0.000362457,0.00002660049,0.0000705585,0.001699452],"genre_scores_gemma":[0.9991297,0.0001290124,0.00004072369,0.0000604347,0.0001573872,0.00004625834,0.000009792744,0.00002211144,0.0004045387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006601058,"threshold_uncertainty_score":0.6272945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3869716718068249,"score_gpt":0.4790369298993804,"score_spread":0.0920652580925555,"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."}}