{"id":"W2769110097","doi":"10.1002/cjs.11342","title":"Statistical challenges in high‐dimensional molecular and genetic epidemiology","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; Sinai Health System; Lunenfeld-Tanenbaum Research Institute; Public Health Ontario; University of Toronto","funders":"","keywords":"Trait; Genetic association; Molecular epidemiology; Breast cancer; Biology; Disease; Genome-wide association study; Genetic epidemiology; Data science; Computational biology; Evolutionary biology; Medicine; Computer science; Cancer; Gene; Genetics; Pathology; Genotype","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.381647,0.001436909,0.0059859,0.005651754,0.003467692,0.009427505,0.006446917,0.004162991,0.004138122],"category_scores_gemma":[0.6527275,0.001769702,0.002736834,0.01123283,0.01474821,0.005953814,0.006367808,0.01230718,0.001035556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004288383,"about_ca_system_score_gemma":0.01227871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04562561,"about_ca_topic_score_gemma":0.03190624,"domain_scores_codex":[0.6234491,0.3250768,0.01368081,0.01690397,0.01923858,0.00165072],"domain_scores_gemma":[0.1558378,0.7845828,0.009127029,0.03243562,0.01603697,0.001979788],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00056817,0.0002747421,0.1361532,0.003644773,0.00872392,0.001817874,0.00359958,0.04090729,0.0007109051,0.469905,0.09392301,0.2397716],"study_design_scores_gemma":[0.000184169,0.000202932,0.02734429,0.001057562,0.0007369219,0.0008976583,0.001161727,0.07614514,0.0002428044,0.8472111,0.04456055,0.0002552399],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01783909,0.02956114,0.7885328,0.1445632,0.007102224,0.0006578044,0.005073792,0.0009883225,0.005681644],"genre_scores_gemma":[0.4634252,0.01163615,0.4750067,0.02702947,0.01304479,0.002856648,0.003377145,0.0005956815,0.003028205],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.618353,"threshold_uncertainty_score":0.7625394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03980621515101551,"score_gpt":0.2861932247837514,"score_spread":0.2463870096327359,"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."}}