{"id":"W2993024586","doi":"10.1371/journal.pone.0225699","title":"Multiscale analysis for patterns of Zika virus genotype emergence, spread, and consequence","year":2019,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Mosquito-borne diseases and control","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Lawrence Livermore National Laboratory; Office of Research Infrastructure Programs, National Institutes of Health; California National Primate Research Center; National Institutes of Health; Laboratory Directed Research and Development; U.S. Department of Energy; University of California, Davis; U.S. Food and Drug Administration; National Institute of Allergy and Infectious Diseases; Hamilton Health Sciences Foundation","keywords":"Biology; Zika virus; Genome; Genetics; Population; Viral evolution; Mutation; Virology; Mutation rate; Virus; Viral quasispecies; Genotype; Genomics; Microcephaly; Evolutionary biology; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004220242,0.0001779785,0.0003701688,0.00119301,0.0003308585,0.0006391061,0.0002814853,0.0002773571,0.0007845658],"category_scores_gemma":[0.00174016,0.0001796216,0.00059658,0.0005861849,0.0003866971,0.0004834291,0.000486292,0.0004664882,0.0001416412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000530258,"about_ca_system_score_gemma":0.000312942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005833838,"about_ca_topic_score_gemma":0.004279608,"domain_scores_codex":[0.9998228,0.00002046991,0.00001019134,0.00006252531,0.00003711758,0.00004687178],"domain_scores_gemma":[0.9995357,0.0001266847,0.0001205599,0.00005540105,0.00008616255,0.00007551743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007161408,0.0002096072,0.4874116,0.0003447997,0.0005818698,0.001349912,0.001053041,0.1844576,0.2151107,0.01399589,0.006749055,0.08801975],"study_design_scores_gemma":[0.00001198883,0.00005754814,0.2243268,0.00001897128,0.000067039,0.000203966,0.000282823,0.7616552,0.005356439,0.006175042,0.001786189,0.00005797748],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9648133,0.0003610978,0.03253259,0.0002096023,0.00001811779,0.00002013615,0.0008677515,0.0003238308,0.0008533944],"genre_scores_gemma":[0.9915719,0.00009361932,0.007425722,0.0000336927,0.00001074987,0.00001486275,0.0006571535,0.00002997683,0.0001624176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005833838,"threshold_uncertainty_score":0.01159978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03053323860282563,"score_gpt":0.2572428004931891,"score_spread":0.2267095618903635,"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."}}