{"id":"W2061713249","doi":"10.1128/mbio.02464-14","title":"Intrahost Dynamics of Antiviral Resistance in Influenza A Virus Reflect Complex Patterns of Segment Linkage, Reassortment, and Natural Selection","year":2015,"lang":"en","type":"article","venue":"mBio","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute of General Medical Sciences; National Institute of Allergy and Infectious Diseases; Canadian Institutes of Health Research","keywords":"Reassortment; Biology; Selective sweep; Viral phylodynamics; Viral evolution; Antigenic shift; Genetics; Virus; Influenza A virus; Population; Virology; Evolutionary dynamics; Evolutionary biology; Phylogenetic tree; Antigenic drift; Genome; Gene; Allele; Disease; Haplotype","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003106422,0.0001249832,0.0001470405,0.0003122173,0.0002786788,0.0004281899,0.0002045882,0.00035338,0.000695241],"category_scores_gemma":[0.0007651803,0.000112073,0.0001245229,0.0002388196,0.0004311368,0.0003504881,0.0002873229,0.0002838501,0.0001625474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002514168,"about_ca_system_score_gemma":0.0001069582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004824554,"about_ca_topic_score_gemma":0.0006840521,"domain_scores_codex":[0.9998503,0.00004173038,0.000009752425,0.00005653955,0.00002464242,0.00001701494],"domain_scores_gemma":[0.9995254,0.0001806547,0.0001700342,0.00004158475,0.00004850075,0.00003382132],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004321,0.0001749033,0.3323772,0.000115834,0.0001334572,0.0002500372,0.0006862516,0.003000298,0.6441714,0.0006309628,0.0001540923,0.01787342],"study_design_scores_gemma":[0.00001613016,0.0005482331,0.9418415,0.00001564324,0.00006563158,0.001085838,0.0005714837,0.01776067,0.03588382,0.001098161,0.001084461,0.00002844626],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986472,0.0001637329,0.0008837567,0.00001581358,0.000001290797,0.000005290005,0.00003844873,0.000008176453,0.0002364152],"genre_scores_gemma":[0.9990724,0.00006489819,0.0007136817,0.00001132655,0.000002902148,0.000006848776,0.00005596607,0.000004039784,0.00006804729],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000695241,"threshold_uncertainty_score":0.002325773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08401517396608203,"score_gpt":0.3873841442809618,"score_spread":0.3033689703148797,"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."}}