{"id":"W2046020583","doi":"10.3109/03014460.2013.826734","title":"Geographical and social influences on genetic diversity within the Egyptian population: analyses of<i>Alu</i>insertion polymorphisms","year":2013,"lang":"en","type":"article","venue":"Annals of Human Biology","topic":"Forensic and Genetic Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of the Environment, Conservation and Parks","funders":"","keywords":"Diversity (politics); Genetic diversity; Genetics; Biology; Alu element; Evolutionary biology; Population; Demography; Geography; Genome; Gene; Sociology; Human genome; Anthropology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003481093,0.0001752648,0.0001380961,0.0008834768,0.0003332575,0.0003873441,0.0001598159,0.0002357084,0.001585346],"category_scores_gemma":[0.001030369,0.00009127188,0.0001839636,0.001045559,0.0005206066,0.0001517111,0.0003008311,0.0001779697,0.0001120987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000257662,"about_ca_system_score_gemma":0.0002308934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006125971,"about_ca_topic_score_gemma":0.008399245,"domain_scores_codex":[0.9996574,0.0001476155,0.00002366513,0.00005942762,0.0000533421,0.00005843552],"domain_scores_gemma":[0.9994999,0.0001543901,0.0002037022,0.00003140869,0.00004581252,0.0000647259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002002619,0.00004012452,0.989036,0.00001259856,0.0001294996,0.0002533912,0.001102303,0.000109298,0.003394855,0.000129264,0.0000445151,0.005547755],"study_design_scores_gemma":[0.000003198941,0.00004188932,0.9987363,0.000005241239,0.00002680042,0.000138395,0.0006049172,0.0001163043,0.0001574361,0.0000501122,0.000117184,0.000002295563],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997143,0.00005270249,0.00003245529,0.00001208296,5.581418e-7,0.000001022006,0.00001823791,3.998938e-7,0.0001681702],"genre_scores_gemma":[0.9998116,0.00003720914,0.00005346728,0.000004500587,0.000001396864,0.000001099576,0.00002509584,4.565311e-7,0.00006520332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006125971,"threshold_uncertainty_score":0.01218063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0827587631367468,"score_gpt":0.3725797008831018,"score_spread":0.289820937746355,"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."}}