{"id":"W2022492197","doi":"10.1002/ajpa.20835","title":"Using ancient mtDNA to reconstruct the population history of northeastern North America","year":2008,"lang":"en","type":"article","venue":"American Journal of Physical Anthropology","topic":"Forensic and Genetic Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of California, Davis; University of Toronto","keywords":"Haplogroup; Prehistory; Ancient DNA; Geography; Mitochondrial DNA; Population; Haplotype; Gene flow; Archaeology; Demography; Biology; Genetic variation; Genotype; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007300522,0.00009865753,0.0003009793,0.00005948688,0.00006146888,0.000001547381,0.0002116684,0.00002104191,0.00002287559],"category_scores_gemma":[0.00005711605,0.00006639216,0.0001464991,0.0001538044,0.00246932,0.000003545181,0.00005711738,0.0001168736,0.000003382088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005050556,"about_ca_system_score_gemma":0.000220229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006736013,"about_ca_topic_score_gemma":0.000065175,"domain_scores_codex":[0.9990273,0.000140624,0.0002756353,0.0001461323,0.0002051357,0.0002051345],"domain_scores_gemma":[0.9991198,0.00002832689,0.0003392299,0.000207637,0.0001988882,0.0001061316],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001139353,0.0006096032,0.1970301,0.00001841547,0.000371467,0.00005235734,0.004053502,0.005559663,0.4017949,0.0001000558,0.004108479,0.3851621],"study_design_scores_gemma":[0.003037728,0.05518234,0.6668284,0.0001130284,0.0003198994,0.004772669,0.01120928,0.005214831,0.07736927,0.0002987779,0.1740716,0.001582222],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950713,0.0002173553,0.004,0.0003175277,0.0002153445,0.00006107797,0.00000556301,0.000001173565,0.0001106934],"genre_scores_gemma":[0.997865,0.00005934539,0.001425559,0.0002515822,0.0003277994,8.835557e-7,0.000004480013,0.00001019439,0.0000552226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4697983,"threshold_uncertainty_score":0.9098311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0255276680282119,"score_gpt":0.3065120116290048,"score_spread":0.2809843436007929,"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."}}