{"id":"W2108628105","doi":"10.1093/jac/dkq100","title":"Targeting pandemic influenza: a primer on influenza antivirals and drug resistance","year":2010,"lang":"en","type":"review","venue":"Journal of Antimicrobial Chemotherapy","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nexen (Canada)","funders":"","keywords":"Pandemic; Virology; Drug resistance; Influenza A virus; Virus; Population; Influenza pandemic; Biology; Drug development; Drug; Medicine; Coronavirus disease 2019 (COVID-19); Infectious disease (medical specialty); Microbiology; Disease; Environmental health; Pharmacology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008038392,0.0008250047,0.001591115,0.002194495,0.0002959546,0.001161688,0.000860521,0.001852469,0.004226599],"category_scores_gemma":[0.0007734612,0.0003613115,0.000559291,0.002166362,0.0006475177,0.003066836,0.0007376113,0.002547418,0.003307227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000645776,"about_ca_system_score_gemma":0.0008705117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008809085,"about_ca_topic_score_gemma":0.001625864,"domain_scores_codex":[0.9997484,0.00006205542,0.00003720512,0.00003489642,0.0000930172,0.00002447121],"domain_scores_gemma":[0.999557,0.0002216637,0.00004446281,0.00001838904,0.0001217437,0.00003679577],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001062533,0.0001520319,0.0001263455,0.01110301,0.00005673858,0.0002447506,0.0001241957,0.0003416906,0.003601249,0.00790613,0.06329037,0.9129472],"study_design_scores_gemma":[0.0000162335,0.0001064299,0.0003515144,0.002570067,0.00002725922,0.000754791,0.0000631491,0.0000534207,0.0002888452,0.001999725,0.9937574,0.00001125821],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00007439945,0.9976953,0.0001174551,0.0007352471,0.0003858607,0.000005785386,0.000009259271,0.000006608939,0.0009699775],"genre_scores_gemma":[0.0003669491,0.9976314,0.0002977587,0.000504974,0.0003440922,0.00000883016,0.00001553912,0.000001951917,0.0008285341],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004226599,"threshold_uncertainty_score":0.01413935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08156848084147275,"score_gpt":0.4109341527400107,"score_spread":0.3293656718985379,"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."}}