{"id":"W2062326739","doi":"10.1371/journal.pone.0080710","title":"X-Linked MTMR8 Diversity and Evolutionary History of Sub-Saharan Populations","year":2013,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Forensic and Genetic Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine; Université de Montréal","funders":"","keywords":"Demographic history; Population; Population bottleneck; Genetic diversity; Evolutionary biology; Biology; Founder effect; Genetic admixture; Gene pool; Haplotype; Demography; Genetics; Allele; Gene; Microsatellite","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":[0.0002402302,0.000122063,0.0002454259,0.0009983116,0.0002264629,0.0003117384,0.0001404224,0.0001655593,0.001333486],"category_scores_gemma":[0.0007487062,0.00007725587,0.0001163231,0.0008506609,0.000234226,0.0002287209,0.0003196439,0.0001512521,0.0001196654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008391502,"about_ca_system_score_gemma":0.00005664132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007316923,"about_ca_topic_score_gemma":0.0008228677,"domain_scores_codex":[0.9998586,0.00003842333,0.00001179382,0.00004861632,0.00002080565,0.00002171181],"domain_scores_gemma":[0.9997388,0.00009068264,0.0001016412,0.00001807825,0.00002313447,0.0000277027],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003603835,0.00002379956,0.9295027,0.00006374355,0.0002037525,0.000806426,0.003346099,0.0002690012,0.03990096,0.0003406345,0.00006591624,0.02511661],"study_design_scores_gemma":[0.00000522712,0.00006438448,0.9970858,0.000011625,0.00001949388,0.0007482471,0.0005294211,0.0001701899,0.0005302887,0.0001313248,0.0006993299,0.000004703168],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999598,0.0002075183,0.00004816033,0.000005550004,5.022436e-7,8.670455e-7,0.00003240629,9.127064e-7,0.0001062316],"genre_scores_gemma":[0.9994397,0.000182588,0.0001803327,0.000006405437,0.000003016043,0.000002778769,0.00009751802,0.00000146993,0.00008620194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001333486,"threshold_uncertainty_score":0.004460931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06393919641580074,"score_gpt":0.2347642440571512,"score_spread":0.1708250476413505,"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."}}