{"id":"W2100196176","doi":"10.1038/ncomms2140","title":"The genetic prehistory of southern Africa","year":2012,"lang":"en","type":"article","venue":"Nature Communications","topic":"Forensic and Genetic Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":372,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"National Institute of Environmental Health Sciences; National Institute of General Medical Sciences; National Human Genome Research Institute; Japan Society for the Promotion of Science; Max-Planck-Gesellschaft; Deutsche Forschungsgemeinschaft; European Science Foundation; National Institutes of Health; National Science Foundation","keywords":"Prehistory; Bantu languages; Evolutionary biology; Human migration; Genetic genealogy; Out of africa; Population; Geography; Genetic variation; Genetic data; Phylogeography; 1000 Genomes Project; Biology; Ethnology; Single-nucleotide polymorphism; History; Phylogenetics; Demography; Archaeology; Genetics; Genotype; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000227222,0.00005358851,0.00004832097,0.00001487572,0.0001901907,0.000005503839,0.0007339724,0.0001398397,0.000007726995],"category_scores_gemma":[0.0001385847,0.00003763476,0.0000514419,0.00006949023,0.0003389241,9.606252e-7,0.0002916392,0.0002184821,0.00002314069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007052159,"about_ca_system_score_gemma":0.00004834192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000067985,"about_ca_topic_score_gemma":0.00006821741,"domain_scores_codex":[0.9994431,0.0001091696,0.0001112637,0.00006726418,0.000107673,0.0001615765],"domain_scores_gemma":[0.9982989,0.00005602305,0.00004844258,0.001441341,0.0001074695,0.00004785127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001524031,0.000721019,0.0705912,0.00003997254,0.0004120485,2.519364e-7,0.003577422,0.00003158844,0.4170466,0.01718992,0.406855,0.08338254],"study_design_scores_gemma":[0.0000797418,0.00003362135,0.01024756,0.000002517477,0.000009484061,0.000002614462,0.0002320478,0.00001907632,0.005046048,0.00008951951,0.9841821,0.00005569444],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2900369,0.6275031,0.0004800805,0.003061097,0.000433383,0.0005532716,0.00008627667,0.00002179828,0.07782411],"genre_scores_gemma":[0.9929959,0.001643885,0.002718585,0.00004579568,0.00008037979,0.00002265255,0.00002607518,0.00000932851,0.002457359],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7029591,"threshold_uncertainty_score":0.1534701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01982144640601143,"score_gpt":0.2993879089746777,"score_spread":0.2795664625686663,"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."}}