{"id":"W3161191186","doi":"10.1038/s41562-021-01119-3","title":"Resource profile and user guide of the Polygenic Index Repository","year":2021,"lang":"en","type":"article","venue":"Nature Human Behaviour","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":181,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Aging; National Health and Medical Research Council; Australian Research Council; Medical Research Council; Eunice Kennedy Shriver National Institute of Child Health and Human Development; Economic and Social Research Council; European Commission; Riksbankens Jubileumsfond; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; National Institute of Mental Health; Vetenskapsrådet; Social Sciences and Humanities Research Council of Canada; Eesti Teadusagentuur; Government of Canada; Open Philanthropy Project; National Institute for Health and Care Research; Genome Canada; National Institutes of Health; Ontario Genomics; Ontario Genomics Institute","keywords":"Index (typography); Resource (disambiguation); Computer science; Information retrieval; World Wide Web; Data science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001485919,0.00008545441,0.0001180324,0.00001447222,0.0001339351,0.000007925263,0.0001376488,0.0004035465,0.00001803481],"category_scores_gemma":[0.0001145527,0.00006674596,0.00008274418,0.00005973376,0.00007335136,0.000001051091,0.0001785761,0.000237299,4.775781e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001038018,"about_ca_system_score_gemma":0.00006753998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002761199,"about_ca_topic_score_gemma":0.00007530341,"domain_scores_codex":[0.999211,0.0001303753,0.0001996152,0.0002351711,0.00008966657,0.0001341966],"domain_scores_gemma":[0.9993357,0.00001028054,0.0001221839,0.0003889522,0.0001091783,0.00003370173],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000003910221,0.00003168831,0.7584592,0.000004839969,0.00002324835,0.000002142161,0.00002478072,0.000004495469,0.2146442,0.000142131,0.02656342,0.00009602268],"study_design_scores_gemma":[0.0002019795,0.00003346805,0.9033276,0.000007454832,0.00003102882,0.0000327597,0.00008999818,0.000001952646,0.06855096,0.00003181722,0.02761378,0.00007717555],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946326,0.001914392,0.00001630879,0.0002601102,0.0001118426,0.00008243148,0.00001434978,0.000004391588,0.002963559],"genre_scores_gemma":[0.9801157,0.00001433719,0.0003155028,0.0003458243,0.000124054,0.000007749344,0.0000502181,0.00001143643,0.01901524],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1460932,"threshold_uncertainty_score":0.311252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005467143440576409,"score_gpt":0.262550445267476,"score_spread":0.2570833018268996,"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."}}