{"id":"W2564235356","doi":"10.1101/093468","title":"Ancient individuals from the North American Northwest Coast reveal 10,000 years of regional genetic continuity","year":2016,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Forensic and Genetic Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; Western University; Positive Living North","funders":"Office of Advanced Cyberinfrastructure; University of Illinois at Urbana-Champaign; Institute for Computational and Data Sciences, Pennsylvania State University; Washington State University; U.S. Forest Service; National Geographic Society; National Science Foundation","keywords":"Pleistocene; Geography; Holocene; Ancient DNA; Population; Haplogroup; Demographic history; Archaeology; Cave; Biology; Genetic variation; Demography; Haplotype","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":[0.0001552248,0.00009847045,0.0002117186,0.0009397889,0.0008249006,0.0005992468,0.0001792047,0.000252242,0.001166866],"category_scores_gemma":[0.0003887763,0.0001228683,0.0001223393,0.001529347,0.0003673036,0.0001551446,0.0003713076,0.0003425479,0.0001825696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003699716,"about_ca_system_score_gemma":0.0003632217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06637361,"about_ca_topic_score_gemma":0.2103666,"domain_scores_codex":[0.999878,0.0000104712,0.000008045188,0.00005068937,0.00003197466,0.00002084368],"domain_scores_gemma":[0.9996445,0.00005316752,0.00009312308,0.00004012916,0.0001045927,0.00006442602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001929703,0.00003050442,0.9392218,0.00004810787,0.0001476372,0.0006866602,0.003043859,0.0002845372,0.03902189,0.0001819482,0.0003995834,0.01674048],"study_design_scores_gemma":[0.000001114531,0.00001010643,0.9972399,0.000008805995,0.00001546148,0.0002453835,0.0007379279,0.00009692633,0.0004562438,0.00004216478,0.001142253,0.000003758013],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983606,0.0001191099,0.000200813,0.00001930683,0.000002423568,0.000002158863,0.0006287402,0.00000685189,0.0006600191],"genre_scores_gemma":[0.9975054,0.0001225474,0.0005171952,0.00002161356,0.000003002356,0.000004457544,0.001261326,0.000004953269,0.0005595817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06637361,"threshold_uncertainty_score":0.1319746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01265021906464156,"score_gpt":0.2338071173505015,"score_spread":0.22115689828586,"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."}}