{"id":"W2153490018","doi":"10.1186/s12879-015-0829-8","title":"Genetic diversity of the 2013–14 human isolates of influenza H7N9 in China","year":2015,"lang":"en","type":"article","venue":"BMC Infectious Diseases","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network","funders":"NIH Clinical Center; Zhejiang University; National Institute of Allergy and Infectious Diseases; Centers for Disease Control and Prevention; Jiangsu University","keywords":"Biology; Phylogenetic tree; Medical microbiology; Context (archaeology); Virology; Parasitology; Reassortment; Influenza A virus subtype H5N1; China; Phylogenetics; Genetic diversity; Molecular epidemiology; Virus; Cluster (spacecraft); Disease; Evolutionary biology; Zoology; Genetics; Geography; Demography; Gene; Population; Genotype; Coronavirus disease 2019 (COVID-19); Infectious disease (medical specialty); Medicine","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":[0.0004528145,0.0003028405,0.0002834255,0.0007428097,0.0005710497,0.0003331828,0.0002661514,0.0003032309,0.0006451805],"category_scores_gemma":[0.0005289718,0.0001369155,0.0003482991,0.0009712697,0.000385281,0.0001177864,0.0003108816,0.0002127271,0.0001511866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008367506,"about_ca_system_score_gemma":0.0008151212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0270342,"about_ca_topic_score_gemma":0.03116173,"domain_scores_codex":[0.9996268,0.00005286897,0.00003430391,0.0001170913,0.00008923074,0.00007968167],"domain_scores_gemma":[0.9996067,0.0000537475,0.00007225497,0.00003668933,0.0001419105,0.00008877806],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004561912,0.00005348656,0.9487925,0.00009058889,0.0001608664,0.0006715496,0.001225412,0.0005028429,0.03157573,0.000111073,0.0009074258,0.01545237],"study_design_scores_gemma":[0.00001255162,0.0001223802,0.9958145,0.000009746494,0.00002963852,0.0005222164,0.0002856065,0.0005406335,0.00123906,0.00003277796,0.001383994,0.000006868301],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986248,0.0001414096,0.0001631312,0.00003573285,0.000006772628,0.00001985488,0.0006554073,0.000002899943,0.0003499943],"genre_scores_gemma":[0.996815,0.0001221225,0.0003066362,0.00007480237,0.00001143416,0.00002797123,0.002240339,0.000003579026,0.0003980967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0270342,"threshold_uncertainty_score":0.05375367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06422601844433758,"score_gpt":0.3443941696088054,"score_spread":0.2801681511644679,"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."}}