{"id":"W3205588962","doi":"10.1093/hmg/ddab302","title":"Inbreeding, Native American ancestry and child mortality: linking human selection and paediatric medicine","year":2021,"lang":"en","type":"article","venue":"Human Molecular Genetics","topic":"Obesity and Health Practices","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Global Health Research","funders":"Medical Research Council; Horizon 2020 Framework Programme; European Commission","keywords":"Biology; Inbreeding; Selection (genetic algorithm); Native american; Demography; Genetics; Genealogy; Population","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":[0.0007011032,0.0001427149,0.0001620304,0.0005326081,0.00024466,0.0004372688,0.0001815782,0.0002033981,0.001312461],"category_scores_gemma":[0.002112309,0.0001174947,0.000172253,0.0006882803,0.0004131144,0.0001893433,0.0004909821,0.0003477608,0.00006773704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002699544,"about_ca_system_score_gemma":0.0003762098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01154443,"about_ca_topic_score_gemma":0.01099966,"domain_scores_codex":[0.999619,0.0002192294,0.00001277306,0.00006552198,0.00003317156,0.00005034305],"domain_scores_gemma":[0.9993311,0.0002656453,0.0002025021,0.00006404641,0.00004413691,0.00009259026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003558089,0.00001351155,0.9934508,0.00001402476,0.00006880932,0.0001300928,0.0002432661,0.0001275295,0.0004200042,0.0002200888,0.00007830636,0.005198014],"study_design_scores_gemma":[0.000001424645,0.00002230839,0.9986818,0.00001224887,0.00002261639,0.0001504501,0.0002313638,0.0003233329,0.00005673215,0.0002597175,0.0002358233,0.000002261474],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965411,0.001500381,0.0004805384,0.0003008432,0.000004907078,0.000006029941,0.0000998511,0.000006368231,0.001059882],"genre_scores_gemma":[0.9989719,0.0006111407,0.0001852875,0.0000330086,0.00001059004,0.000003991537,0.00004419407,0.000001499839,0.0001383531],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01154443,"threshold_uncertainty_score":0.02295446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09156254519708186,"score_gpt":0.464732063084092,"score_spread":0.3731695178870101,"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."}}