{"id":"W2093649315","doi":"10.1002/ajpa.21234","title":"Brief communication: Patterns of linkage disequilibrium and haplotype diversity at Xq13 in six Native American populations","year":2009,"lang":"en","type":"article","venue":"American Journal of Physical Anthropology","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"Canadian Institutes of Health Research; Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS)","keywords":"Linkage disequilibrium; Haplotype; Demographic history; Biological dispersal; Biology; Founder effect; Genetic diversity; Evolutionary biology; Microsatellite; Population; Population genetics; Effective population size; Genetics; Demography; Genetic variation; Allele; Gene","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":[0.0002973682,0.00007313256,0.0001104984,0.0004689971,0.0004052928,0.000194277,0.0001239454,0.0001721119,0.002415682],"category_scores_gemma":[0.0007974705,0.00004530065,0.000044942,0.0005530653,0.0002408336,0.0001242293,0.0001976051,0.0002325957,0.0002291154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001113711,"about_ca_system_score_gemma":0.0001180855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001362376,"about_ca_topic_score_gemma":0.002442881,"domain_scores_codex":[0.9998682,0.00003610826,0.0000120018,0.00004022739,0.00002930255,0.0000141683],"domain_scores_gemma":[0.9995099,0.0001510637,0.0001029797,0.00002824187,0.00007857004,0.0001293238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009318755,0.0001859448,0.7456627,0.0002983603,0.0001720956,0.002432472,0.004318559,0.0003964214,0.02926534,0.0006598702,0.01808578,0.1975906],"study_design_scores_gemma":[0.00003047685,0.0003253751,0.9810681,0.00002114602,0.00003243727,0.00313671,0.0008025668,0.0001475417,0.001956378,0.000324761,0.01213349,0.00002103912],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934487,0.0012071,0.001082,0.0008482331,0.0001618405,0.00002266179,0.001242165,0.00002030274,0.001966989],"genre_scores_gemma":[0.9932953,0.001205317,0.001116935,0.0002714804,0.0004096899,0.00002100271,0.00113715,0.000004713918,0.002538476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002415682,"threshold_uncertainty_score":0.008081257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01416018138045353,"score_gpt":0.3081126614032723,"score_spread":0.2939524800228188,"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."}}