{"id":"W2064862016","doi":"10.1007/s00439-010-0945-x","title":"Genomic and genealogical investigation of the French Canadian founder population structure","year":2011,"lang":"en","type":"article","venue":"Human Genetics","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":88,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi; Centre Hospitalier Universitaire Sainte-Justine; Université de Montréal","funders":"Canadian Institutes of Health Research; Université Laval","keywords":"Founder effect; Biology; Runs of Homozygosity; Linkage disequilibrium; Genetics; Population; Evolutionary biology; Genetic structure; Population genetics; Demographic history; Genetic epidemiology; Population genomics; Single-nucleotide polymorphism; Genetic variation; Haplotype; Genomics; Genome; Allele; Demography; Genotype; Gene","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009166843,0.00008517271,0.00009099621,0.0000282635,0.0001377244,0.000005284139,0.0001242753,0.0001754464,0.00003820324],"category_scores_gemma":[0.00002572961,0.00006782887,0.00003362669,0.00004212622,0.0001061041,9.254489e-7,0.00006191083,0.00005506452,7.19843e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001944166,"about_ca_system_score_gemma":0.00006062179,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01189628,"about_ca_topic_score_gemma":0.09748314,"domain_scores_codex":[0.9993598,0.00008186893,0.0001863907,0.0001710824,0.00005016525,0.0001507044],"domain_scores_gemma":[0.9995372,0.000004086776,0.0001032564,0.0002286146,0.00005005655,0.00007678095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[8.164483e-7,0.000002609926,0.9409421,0.000003588479,0.00001518121,7.696121e-8,0.0001516262,0.0000490767,0.05809095,0.0001704804,0.0002755346,0.0002979536],"study_design_scores_gemma":[0.0001033644,0.00006311636,0.989273,0.000001775909,0.00001764303,0.000004017063,0.00002179016,0.00004903133,0.003720847,0.006396362,0.0002717696,0.00007734908],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990124,0.0002813408,0.00007139352,0.00003893176,0.00008347839,0.0001190947,0.00002202544,0.00000222691,0.0003691292],"genre_scores_gemma":[0.9973355,0.000029557,0.002133313,0.0002380275,0.00008109978,0.000003074588,0.00008678513,0.000009308836,0.00008332149],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08558686,"threshold_uncertainty_score":0.9946836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03545139215725254,"score_gpt":0.2407113406336912,"score_spread":0.2052599484764387,"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."}}