{"id":"W2773102674","doi":"10.1002/gepi.22099","title":"Two‐phase designs for joint quantitative‐trait‐dependent and genotype‐dependent sampling in post‐GWAS regional sequencing","year":2017,"lang":"en","type":"article","venue":"Genetic Epidemiology","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sinai Health System; Lunenfeld-Tanenbaum Research Institute; Public Health Ontario; University of Toronto","funders":"FP7 Ideas: European Research Council; National Institute of General Medical Sciences; National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; Canadian Institutes of Health Research; European Research Council; National Institutes of Health; University of Toronto; Compute Canada; Canada Foundation for Innovation; Government of Ontario","keywords":"Genome-wide association study; Covariate; Single-nucleotide polymorphism; SNP; Inference; Quantitative trait locus; Genetic association; Statistics; Biology; Sample size determination; Genetics; Computational biology; Computer science; Genotype; Mathematics; Artificial intelligence; Gene","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00331914,0.0003369434,0.0007472592,0.0001255071,0.0004802908,0.00002661141,0.0004122936,0.0004320238,0.00002160917],"category_scores_gemma":[0.006424968,0.0003314771,0.0001712232,0.00003339914,0.0003490173,0.000008560071,0.0002772409,0.0002233336,0.000008321983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009209211,"about_ca_system_score_gemma":0.000262334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008208863,"about_ca_topic_score_gemma":0.001441478,"domain_scores_codex":[0.9963996,0.0006941295,0.0009800062,0.0009769386,0.00009390985,0.0008553649],"domain_scores_gemma":[0.9974629,0.0006746872,0.0006909864,0.0007728221,0.0001988985,0.0001997561],"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":[0.0007656799,0.0002502951,0.1640216,0.0001051008,0.0004706329,0.00002477466,0.0004983968,0.02113038,0.7642788,0.007267897,0.001269407,0.03991707],"study_design_scores_gemma":[0.0119792,0.004244038,0.8873405,0.00009856401,0.0002256352,0.0003901937,0.001209211,0.02679088,0.005798674,0.05636818,0.003883584,0.001671318],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7996495,0.002744926,0.1942962,0.002208986,0.0002829236,0.000561837,0.00008864424,0.00001155729,0.0001553675],"genre_scores_gemma":[0.78553,0.0008150536,0.2113195,0.001506626,0.0002881083,0.0001658817,0.000168614,0.00003783292,0.0001683975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7584801,"threshold_uncertainty_score":0.9999138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2061100940542134,"score_gpt":0.40894418787627,"score_spread":0.2028340938220566,"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."}}