{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0559676,0.001297832,0.001304112,0.0006111573,0.0005691894,0.000818832,0.002801252,0.001896655,0.004977247],"category_scores_gemma":[0.1086783,0.0009332271,0.001762059,0.0007026558,0.001734036,0.001542166,0.002168035,0.001857809,0.000806243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007273798,"about_ca_system_score_gemma":0.002259862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005638285,"about_ca_topic_score_gemma":0.0007643164,"domain_scores_codex":[0.9580634,0.03772194,0.0006336849,0.001632048,0.00157189,0.0003770311],"domain_scores_gemma":[0.9272384,0.05312917,0.004429742,0.01098277,0.003454677,0.0007652905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01804603,0.002762985,0.01662653,0.001040561,0.00157685,0.0003483609,0.00118403,0.3508394,0.01475693,0.2557063,0.002482475,0.3346296],"study_design_scores_gemma":[0.006470543,0.008287672,0.003790063,0.0001234411,0.0005419528,0.0001948345,0.00008812081,0.8459002,0.007765125,0.1215773,0.005118682,0.0001420266],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02053997,0.00009918852,0.976193,0.00009508704,0.00006277089,0.002313472,0.00007912623,0.0001488144,0.000468552],"genre_scores_gemma":[0.2174037,0.0001074018,0.7710275,0.0002144569,0.00004728828,0.009713683,0.0001892071,0.0000792522,0.001217484],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0559676,"threshold_uncertainty_score":0.2959885,"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."}}