{"id":"W2078626331","doi":"10.1371/journal.pone.0013381","title":"A Metagenomic Analysis of Pandemic Influenza A (2009 H1N1) Infection in Patients from North America","year":2010,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":195,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Sinai Hospital; University of Toronto; BC Centre for Disease Control; University of British Columbia","funders":"National Institute of Allergy and Infectious Diseases; Abbott Diagnostics; Amazon Web Services; National Institutes of Health; National Institute of General Medical Sciences; California Department of Public Health; University of California, San Francisco; Kleine-Levin Syndrome Foundation","keywords":"Metagenomics; Deep sequencing; Biology; Influenza A virus; Genome; Pandemic; Virology; Whole genome sequencing; Virus; Computational biology; Outbreak; Genetics; Gene; Infectious disease (medical specialty); Coronavirus disease 2019 (COVID-19); Medicine; Disease","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002310086,0.0002991596,0.0003583464,0.0007398038,0.0004775408,0.0003286056,0.000151067,0.0003225401,0.0003685503],"category_scores_gemma":[0.0003507259,0.0002042579,0.0003747138,0.0005253647,0.0001440323,0.0001712834,0.0004300673,0.0002544442,0.00009714523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004843999,"about_ca_system_score_gemma":0.0003591318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01235649,"about_ca_topic_score_gemma":0.01779649,"domain_scores_codex":[0.9998528,0.00002566125,0.000008190073,0.00005721238,0.00002483621,0.00003129839],"domain_scores_gemma":[0.9998623,0.00002194701,0.00002451399,0.00001531798,0.00003683704,0.00003897529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006656853,0.00008964982,0.8915049,0.00005283391,0.0002617443,0.0005731734,0.0006636954,0.0003494425,0.09294503,0.0000478475,0.0004351038,0.01241093],"study_design_scores_gemma":[0.000009063338,0.0001348298,0.9930205,0.000008755917,0.00009202742,0.0006368887,0.0007050233,0.001487626,0.003060572,0.00003551677,0.0008010421,0.000008121178],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985142,0.0001768583,0.0003483476,0.00005726256,0.000004099533,0.00001329361,0.0006835987,0.000008647045,0.0001937456],"genre_scores_gemma":[0.9973419,0.0001196194,0.001162865,0.00007140566,0.000005203442,0.00001405444,0.001149531,0.000004672332,0.0001307837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01235649,"threshold_uncertainty_score":0.02456915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08509561316871637,"score_gpt":0.3265244197672122,"score_spread":0.2414288065984959,"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."}}