{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005464481,0.000226321,0.0002249009,0.002739605,0.001399557,0.0006345226,0.0004457374,0.0002171501,0.001911962],"category_scores_gemma":[0.001354951,0.00008543869,0.0002313227,0.003449936,0.0006569283,0.0001465483,0.000351082,0.0002260536,0.00009801282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007776819,"about_ca_system_score_gemma":0.004686822,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9512344,"about_ca_topic_score_gemma":0.9711319,"domain_scores_codex":[0.9996178,0.00006499625,0.00001264297,0.0001188525,0.00009861031,0.00008706073],"domain_scores_gemma":[0.9992896,0.0001322841,0.0001478731,0.00004475697,0.0003070502,0.00007839983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001230863,0.00002652346,0.9400247,0.0000669299,0.0001974973,0.0003585338,0.002837687,0.001897056,0.008373087,0.002009687,0.0007350293,0.04335023],"study_design_scores_gemma":[0.000003392539,0.00001705301,0.9968172,0.00001093699,0.0000226934,0.000130959,0.000424907,0.0006640229,0.0002458814,0.0001077504,0.001544752,0.0000103892],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995698,0.0006168979,0.001019196,0.0001174339,0.000003199847,0.00001847298,0.000986631,0.00000922895,0.00153097],"genre_scores_gemma":[0.9972981,0.0003342877,0.001185845,0.00003166839,0.000003347027,0.000008622284,0.0005755595,0.000003397369,0.0005592731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0487656,"threshold_uncertainty_score":0.09810555,"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."}}