{"id":"W2889932967","doi":"10.1155/2018/5121540","title":"Common DNA Variants Accurately Rank an Individual of Extreme Height","year":2018,"lang":"en","type":"article","venue":"International Journal of Genomics","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Johnson and Johnson Pharmaceutical Research and Development; National Institute on Aging; National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; National Institutes of Health; Biogen Idec; Genentech; Takeda Pharmaceutical Company; IXICO; Servier; Eisai; Elan; Pfizer; Biogen; BioClinica; Synarc; Medpace; Novartis Pharmaceuticals Corporation; U.S. Department of Defense; Eli Lilly and Company; Bristol-Myers Squibb; F. Hoffmann-La Roche; Alzheimer's Drug Discovery Foundation; Merck; Alzheimer's Association; GE Healthcare; Alzheimer's Disease Neuroimaging Initiative; Meso Scale Diagnostics","keywords":"Rank (graph theory); Genetics; Computational biology; Evolutionary biology; DNA; Biology; Statistics; Mathematics; Combinatorics","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":[0.0005547862,0.000085195,0.000175252,0.00007918045,0.00003330695,0.00001748008,0.0005295739,0.000115892,0.00005915411],"category_scores_gemma":[0.000151131,0.00007767705,0.0000961748,0.0000325217,0.00008844375,0.000009318876,0.00009794139,0.00007838944,0.000005426765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002844255,"about_ca_system_score_gemma":0.0001446648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001502287,"about_ca_topic_score_gemma":0.00005127688,"domain_scores_codex":[0.9989947,0.00009527338,0.0005082836,0.0001111206,0.0001715282,0.0001191148],"domain_scores_gemma":[0.9985617,0.00002633875,0.0005868582,0.0001365963,0.0006238424,0.00006470132],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0008883981,0.0004793221,0.1058428,0.000005422059,0.001592013,0.00002263102,0.0009099275,0.000522645,0.8522316,0.001620505,0.006655836,0.0292289],"study_design_scores_gemma":[0.003422143,0.00278213,0.7685435,0.00003721976,0.0001422924,0.0005974944,0.0005709149,0.0007247188,0.1491204,0.004303023,0.06933757,0.0004186059],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994616,0.0001701079,0.003251141,0.0003344647,0.0008399239,0.00003549699,0.00005733295,0.000001348699,0.0006942122],"genre_scores_gemma":[0.9931763,0.0002085228,0.004926291,0.0003278518,0.001210562,6.081021e-7,0.00005801167,0.00001043514,0.00008135872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7031112,"threshold_uncertainty_score":0.3167578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05632252878727036,"score_gpt":0.3260693710436284,"score_spread":0.2697468422563581,"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."}}