{"id":"W2952949211","doi":"10.1038/ng.3980","title":"Ancient hybridization and strong adaptation to viruses across African vervet monkey populations","year":2017,"lang":"en","type":"article","venue":"Nature Genetics","topic":"HIV Research and Treatment","field":"Immunology and Microbiology","cited_by":137,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"National Center for Research Resources; National Institute of Neurological Disorders and Stroke; National Institute of Allergy and Infectious Diseases; National Institutes of Health","keywords":"Biology; Vervet monkey; Evolutionary biology; Simian immunodeficiency virus; Genome; Adaptation (eye); Simian; Taxon; Reticulate; Natural selection; Phenotype; Genetics; Selection (genetic algorithm); Gene; Virus; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007789955,0.00008739378,0.00008932927,0.00003772543,0.0006431632,0.00007182231,0.0001362642,0.0001520341,0.00002514122],"category_scores_gemma":[0.0001490248,0.0000775262,0.00002118535,0.00004223368,0.00007743279,0.00005318473,0.0001027053,0.0001776389,0.0001205223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003509027,"about_ca_system_score_gemma":0.00003182797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001203156,"about_ca_topic_score_gemma":0.0008480078,"domain_scores_codex":[0.999377,0.00003699636,0.00009651538,0.0001971532,0.0000484927,0.0002438223],"domain_scores_gemma":[0.999487,0.00001701701,0.00005783102,0.000301323,0.00009186267,0.00004500875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004967715,0.0005059979,0.6010583,0.00004321767,0.0003981806,0.00003410572,0.007851474,0.002119801,0.1078943,0.001798316,0.01563488,0.2621647],"study_design_scores_gemma":[0.0007807531,0.0002200908,0.9246157,0.00001116458,0.00002203692,0.000008090653,0.0003344591,0.00009004737,0.01829155,0.00008572455,0.05541676,0.000123589],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946265,0.00302224,0.0008112792,0.0003259903,0.0003403194,0.0002419091,0.0003397398,0.00001980299,0.0002722535],"genre_scores_gemma":[0.9981837,0.00007192526,0.001085443,0.0000930192,0.00003244,0.0000171727,0.0001924146,0.000008361807,0.0003155713],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3235574,"threshold_uncertainty_score":0.4946757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05182193313474433,"score_gpt":0.3566667219332645,"score_spread":0.3048447887985202,"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."}}