{"id":"W2098998213","doi":"10.1002/sim.4228","title":"A flexible genome‐wide bootstrap method that accounts for rankingand threshold‐selection bias in GWAS interpretation and replication study design","year":2011,"lang":"en","type":"article","venue":"Statistics in Medicine","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Public Health Ontario; University of Toronto; Mount Sinai Hospital","funders":"Canadian Institutes of Health Research; Wellcome Trust","keywords":"Replication (statistics); Genome-wide association study; Selection (genetic algorithm); Computer science; Interpretation (philosophy); Selection bias; Computational biology; Biology; Statistics; Genetics; Artificial intelligence; Mathematics; Single-nucleotide polymorphism; 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":[0.03552368,0.001134014,0.001982755,0.00251857,0.000890074,0.001474031,0.003031307,0.0020169,0.01152635],"category_scores_gemma":[0.1153522,0.001021442,0.002764915,0.00306565,0.001017424,0.001100149,0.002576206,0.002812627,0.005273187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004823702,"about_ca_system_score_gemma":0.003186425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001287434,"about_ca_topic_score_gemma":0.001985502,"domain_scores_codex":[0.9779909,0.01576477,0.001269525,0.001823024,0.002836297,0.0003155021],"domain_scores_gemma":[0.9509104,0.02948873,0.002794799,0.01180562,0.004349559,0.000650932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0009762502,0.0002638807,0.01002937,0.00106847,0.001473288,0.0007403392,0.0007993532,0.03277447,0.01463931,0.03604991,0.02818776,0.8729975],"study_design_scores_gemma":[0.00232717,0.001108338,0.02651123,0.0006896391,0.001426957,0.003131625,0.0002220612,0.6336176,0.02276194,0.1765098,0.1310793,0.0006143952],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001662351,0.0001083861,0.9952046,0.00009061526,0.00008115381,0.0003717502,0.0002949863,0.001868151,0.0003180802],"genre_scores_gemma":[0.02760724,0.0001148254,0.9664115,0.000216975,0.0001304887,0.002554798,0.0008848942,0.001106215,0.0009731326],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03552368,"threshold_uncertainty_score":0.1878694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1403283743807981,"score_gpt":0.3999535348391609,"score_spread":0.2596251604583627,"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."}}