{"id":"W2610508058","doi":"10.1126/science.aal1988","title":"Dispersals and genetic adaptation of Bantu-speaking populations in Africa and North America","year":2017,"lang":"en","type":"article","venue":"Science","topic":"Forensic and Genetic Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":298,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine","funders":"Centre National de la Recherche Scientifique; Institut Pasteur; Agence Nationale de la Recherche","keywords":"Bantu languages; Adaptation (eye); Ethnology; Geography; Rainforest; Evolutionary biology; Biology; History; Linguistics; Ecology","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":[0.0003471939,0.0001287711,0.0001316578,0.0008507707,0.0007438028,0.0004566344,0.0001980439,0.0001716013,0.002209643],"category_scores_gemma":[0.001087243,0.00008915707,0.0001225639,0.0007966502,0.0004031528,0.0002118502,0.0004539923,0.0002153798,0.0001083477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003395322,"about_ca_system_score_gemma":0.0002905318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01087873,"about_ca_topic_score_gemma":0.0200445,"domain_scores_codex":[0.9998199,0.00006138348,0.00001038748,0.00004515351,0.00002363645,0.00003957855],"domain_scores_gemma":[0.9997401,0.00006501959,0.00008915884,0.00002474837,0.00003996014,0.00004113777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007366171,0.0001335258,0.8168947,0.0001218626,0.0002632924,0.001296144,0.01032332,0.0006619515,0.1208896,0.003336806,0.0003180546,0.04502413],"study_design_scores_gemma":[0.00001059463,0.000030122,0.9955799,0.00002410424,0.00002804153,0.0004356489,0.001396707,0.0003943389,0.000738187,0.000450847,0.0009050828,0.000006560945],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988367,0.0001788826,0.0000990286,0.0000352449,0.00000207872,0.000002897136,0.00003097321,0.000002112249,0.0008121618],"genre_scores_gemma":[0.9995377,0.0001127204,0.0001317344,0.000008916183,0.000002283188,0.000003148694,0.00004624537,0.000001373051,0.0001558984],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01087873,"threshold_uncertainty_score":0.02163076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05993979799343925,"score_gpt":0.3268849643104503,"score_spread":0.2669451663170111,"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."}}