{"id":"W3006299723","doi":"10.1002/ajpa.24024","title":"Historical human remains identification through maternal and paternal genetic signatures in a founder population with extensive genealogical record","year":2020,"lang":"en","type":"article","venue":"American Journal of Physical Anthropology","topic":"Forensic and Genetic Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université du Québec à Chicoutimi; Université du Québec à Trois-Rivières; Centre Hospitalier Universitaire Sainte-Justine","funders":"European Regional Development Fund; Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; Fonds de Recherche du Québec-Société et Culture","keywords":"Haplotype; Genealogy; Ancient DNA; Founder effect; Osteology; Genetic genealogy; Population; Genotyping; Y chromosome; Evolutionary biology; Historical record; Mitochondrial DNA; Biology; Identification (biology); Lineage (genetic); Geography; Genetics; Demography; History; Archaeology; Genotype; Sociology; 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":[0.0007311048,0.0001925689,0.0002135177,0.002458406,0.001048119,0.0005977084,0.000552293,0.0002429536,0.002358897],"category_scores_gemma":[0.001622874,0.0001004652,0.0001215223,0.002096416,0.0004759512,0.0002156398,0.0004844148,0.0001320384,0.0002457628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001485744,"about_ca_system_score_gemma":0.001928798,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5286246,"about_ca_topic_score_gemma":0.8129894,"domain_scores_codex":[0.9996102,0.00006641879,0.00001840207,0.0001338726,0.00009281356,0.00007832639],"domain_scores_gemma":[0.9991853,0.0001412371,0.0002300905,0.0001106069,0.0002646452,0.00006813519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008110802,0.00002178239,0.939025,0.00005883916,0.00007630593,0.0007404569,0.003218863,0.0004162503,0.01317739,0.0003286345,0.0004445184,0.04241087],"study_design_scores_gemma":[0.000003680394,0.00003528779,0.9922392,0.00003186071,0.0000371325,0.0003868642,0.001663233,0.0008056955,0.001065773,0.00006368889,0.003657678,0.000009883117],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938967,0.0003119601,0.003149589,0.0000527784,0.00000477802,0.00005564789,0.0008230711,0.00002087317,0.001684652],"genre_scores_gemma":[0.9929497,0.0001567545,0.004821765,0.00002737017,0.000006429194,0.00002317543,0.0006858327,0.000005966117,0.001323044],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5286246,"threshold_uncertainty_score":0.9483029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01706197142410048,"score_gpt":0.3077831526167779,"score_spread":0.2907211811926774,"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."}}