{"id":"W2949996649","doi":"10.1038/s41559-018-0496-4","title":"The demographic history and mutational load of African hunter-gatherers and farmers","year":2018,"lang":"en","type":"article","venue":"Nature Ecology & Evolution","topic":"Rangeland Management and Livestock Ecology","field":"Environmental Science","cited_by":53,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"Centre National de la Recherche Scientifique; Fondation pour la Recherche Médicale; Agence Nationale de la Recherche","keywords":"Demographic history; History; Geography; Demography; Sociology; Genetic variation","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":[0.0002470927,0.00006514836,0.00007496996,0.00003775473,0.0001734976,0.000002848332,0.00008179323,0.0001489817,0.0002755421],"category_scores_gemma":[0.00003754751,0.00004932955,0.00001891968,0.00007785275,0.001147631,0.00006648806,0.00007217492,0.0001395856,0.00001408556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002104045,"about_ca_system_score_gemma":0.0000170895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008188249,"about_ca_topic_score_gemma":0.004251455,"domain_scores_codex":[0.9994332,0.00006256233,0.00009461928,0.0001706726,0.00009161429,0.0001473632],"domain_scores_gemma":[0.9997037,0.00009546585,0.00007965487,0.00007537002,0.0000145615,0.00003125564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008019659,0.00003380845,0.9717146,0.000004788161,0.00004850704,0.000001149298,0.0004587274,0.000006804005,0.0007854931,0.006236459,0.01746193,0.003167522],"study_design_scores_gemma":[0.0002315862,0.0001988693,0.9488167,0.00000106832,0.0000256001,0.000005893123,0.0002146498,0.0002212472,0.000004796834,0.001908204,0.04832147,0.00004990613],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878145,0.0009249111,0.00005575135,0.0007534121,0.0003952088,0.0001452368,0.000001158694,0.00001131896,0.009898508],"genre_scores_gemma":[0.9988694,0.00005579153,0.0001385153,0.0001155978,0.00003763001,0.00001220965,0.000001559931,0.000003703985,0.0007656496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03085954,"threshold_uncertainty_score":0.4228493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002878002705812651,"score_gpt":0.1894578117842212,"score_spread":0.1865798090784086,"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."}}