{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001006731,0.0007306145,0.0004457197,0.001414562,0.0003837861,0.001235381,0.0003397284,0.0008611095,0.006401288],"category_scores_gemma":[0.005671107,0.000211792,0.0004335399,0.001190734,0.0003883338,0.0005813437,0.0007432013,0.0007268002,0.002546135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003219859,"about_ca_system_score_gemma":0.0002574933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006206781,"about_ca_topic_score_gemma":0.01089067,"domain_scores_codex":[0.9991772,0.0001641685,0.00007499135,0.0003314338,0.0001530689,0.0000991736],"domain_scores_gemma":[0.9979254,0.0006760086,0.0006018098,0.0002587019,0.000352307,0.0001856156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008501559,0.0000901253,0.8653862,0.0001217067,0.0004558371,0.0005194729,0.0003287749,0.003798079,0.01156904,0.003704825,0.009724612,0.1034511],"study_design_scores_gemma":[0.0001236083,0.0004601462,0.9280207,0.0001366647,0.0003867176,0.002856484,0.0007240694,0.0209729,0.008427604,0.01652003,0.02121395,0.0001571498],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.938168,0.001761336,0.03421796,0.0008793119,0.0004165523,0.0001042323,0.01041357,0.0007549913,0.01328391],"genre_scores_gemma":[0.9758507,0.0004583704,0.01488987,0.0003801093,0.00009935451,0.00004227273,0.00410914,0.00008932288,0.004080845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006401288,"threshold_uncertainty_score":0.02141446,"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."}}