{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003315637,0.00185497,0.002223894,0.005447807,0.0007886675,0.003400472,0.004232837,0.001476705,0.3935807],"category_scores_gemma":[0.02392569,0.001606494,0.001436814,0.008577198,0.0004284265,0.003180952,0.004708683,0.002419024,0.3187171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008373066,"about_ca_system_score_gemma":0.00248933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005017578,"about_ca_topic_score_gemma":0.008044176,"domain_scores_codex":[0.9984661,0.0002953063,0.0003074324,0.0003249036,0.0004659927,0.0001402902],"domain_scores_gemma":[0.9915523,0.003216186,0.0005100487,0.002532489,0.001408895,0.0007801467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002296563,0.00006318235,0.002369355,0.001360939,0.00008764434,0.0001114506,0.0000847831,0.0006162084,0.0007319485,0.002782888,0.9426264,0.0489355],"study_design_scores_gemma":[0.0002778396,0.00004202206,0.004325818,0.0005210553,0.00007600943,0.0002887518,0.00006118489,0.002058921,0.001656221,0.01770806,0.9728786,0.0001054528],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.0005535694,0.0004009303,0.02195088,0.0003524609,0.0001593354,0.0002713314,0.9183154,0.0474222,0.01057396],"genre_scores_gemma":[0.003520864,0.0006393274,0.0440139,0.000971444,0.0001194838,0.001371841,0.9151457,0.02369432,0.01052307],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.3935807,"threshold_uncertainty_score":0.8649835,"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."}}