{"id":"W2538361155","doi":"10.1016/j.cell.2016.09.025","title":"Genetic Ancestry and Natural Selection Drive Population Differences in Immune Responses to Pathogens","year":2016,"lang":"en","type":"article","venue":"Cell","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":571,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"Canadian Institutes of Health Research","keywords":"Biology; Genetic genealogy; Immune system; Expression quantitative trait loci; Natural selection; Genetics; Population; Genetic variation; Gene; Trait; Phenotype; Quantitative trait locus; Negative selection; Selection (genetic algorithm); Genetic variability; Evolutionary biology; Genotype; Single-nucleotide polymorphism; Genome","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":[0.0008548883,0.0001676543,0.0002194247,0.0007577942,0.0002980761,0.0006638659,0.0003975442,0.0005485751,0.001351363],"category_scores_gemma":[0.002025027,0.0002044394,0.0001780277,0.0005647805,0.0008233312,0.0004008508,0.0005086726,0.0005178324,0.0001769105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001608874,"about_ca_system_score_gemma":0.0001365622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001020994,"about_ca_topic_score_gemma":0.001131639,"domain_scores_codex":[0.9991916,0.0003833543,0.00003971776,0.0001912121,0.0001047441,0.00008950862],"domain_scores_gemma":[0.9990502,0.0003345634,0.0002569297,0.0001577156,0.00009616671,0.0001044773],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005369742,0.0001899735,0.9152399,0.00004012164,0.000431862,0.0005039379,0.0007904165,0.0009262249,0.06140441,0.0043975,0.0002888246,0.0152498],"study_design_scores_gemma":[0.00002470177,0.0001385543,0.9885818,0.00001004671,0.000101424,0.0008060105,0.0006897576,0.002100582,0.002904482,0.003756898,0.0008676994,0.00001803806],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982073,0.0001772801,0.0008076034,0.00007964232,0.000006769591,0.000004568266,0.00003942175,0.000006841006,0.0006705053],"genre_scores_gemma":[0.9993746,0.00008308463,0.0002627094,0.00003840136,0.00001324961,0.000002794085,0.00002451802,0.000003451715,0.000197336],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001351363,"threshold_uncertainty_score":0.004521191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01181182275013242,"score_gpt":0.2506185820246947,"score_spread":0.2388067592745622,"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."}}