{"id":"W2440444400","doi":"10.1101/058966","title":"A genomic view of the peopling of the americas","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":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Vetenskapsrådet; Wenner-Gren Foundation; National Institutes of Health; National Science Foundation","keywords":"Ancient DNA; Arctic; Prehistory; Population; Geography; Native american; Evolutionary biology; Human migration; Demographic history; Genealogy; Divergence (linguistics); Genetic genealogy; Archaeology; Ethnology; Biology; Demography; Ecology; History; Genetic variation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001678882,0.0002627343,0.0001855553,0.001710153,0.000752698,0.002109233,0.0003354462,0.0006931793,0.00445624],"category_scores_gemma":[0.0003682663,0.0001142652,0.0001375186,0.001544184,0.002289062,0.001361142,0.000674364,0.0009806425,0.0004969652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005937939,"about_ca_system_score_gemma":0.0005193932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005256627,"about_ca_topic_score_gemma":0.006198898,"domain_scores_codex":[0.9999174,0.00001945113,0.000002462499,0.00003701006,0.00001149105,0.00001218994],"domain_scores_gemma":[0.9998749,0.00002980556,0.0000167077,0.00001367026,0.00002105309,0.00004373656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002118648,0.00008253606,0.05661214,0.0009787963,0.0001868192,0.003376865,0.03975654,0.005058583,0.06933169,0.4553622,0.03884604,0.3301959],"study_design_scores_gemma":[0.00001134377,0.00005909184,0.2358046,0.0004455933,0.00006520859,0.002270461,0.01528134,0.001055201,0.001431484,0.2879221,0.455609,0.0000444294],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5190018,0.09692167,0.03346367,0.0798868,0.001255929,0.00004773886,0.007328076,0.0009967716,0.2610974],"genre_scores_gemma":[0.928997,0.03202568,0.01722577,0.004875831,0.001112776,0.00003407259,0.002114416,0.0001036095,0.01351077],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005256627,"threshold_uncertainty_score":0.01490766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0126652296438233,"score_gpt":0.2429473379854838,"score_spread":0.2302821083416605,"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."}}