{"id":"W1554193366","doi":"10.1002/gepi.21797","title":"Estimating Genome‐Wide Significance for Whole‐Genome Sequencing Studies","year":2014,"lang":"en","type":"article","venue":"Genetic Epidemiology","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":100,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital","funders":"Canadian Institutes of Health Research; National Institute for Health and Care Research; Wellcome Trust; Wellcome","keywords":"Whole genome sequencing; Genome; Test statistic; Biology; Genetics; Computational biology; Statistical hypothesis testing; Statistic; Statistics; Computer science; Mathematics; 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":[0.02609652,0.0008175319,0.001157562,0.002366169,0.0006166612,0.001801419,0.002245423,0.001794711,0.002078276],"category_scores_gemma":[0.1231096,0.0006587998,0.001190204,0.002855267,0.0015194,0.001483227,0.001766421,0.002386714,0.0004472873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005539527,"about_ca_system_score_gemma":0.001311763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001323916,"about_ca_topic_score_gemma":0.001531267,"domain_scores_codex":[0.9848197,0.01085513,0.0007192931,0.001904228,0.001434961,0.000266733],"domain_scores_gemma":[0.8947104,0.09478474,0.003706199,0.004531175,0.001751861,0.0005156151],"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":[0.001569525,0.0003929408,0.2194075,0.003742355,0.004563894,0.003853609,0.001663029,0.2404962,0.05519598,0.1038972,0.01034375,0.354874],"study_design_scores_gemma":[0.000306794,0.0006472615,0.09227598,0.0004065315,0.0007442322,0.002382861,0.000492377,0.6762874,0.02590478,0.1841998,0.01616346,0.0001885682],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05126942,0.001317914,0.944299,0.0004071085,0.0001099492,0.000171801,0.000402126,0.0008911503,0.001131608],"genre_scores_gemma":[0.396571,0.0005727161,0.6005403,0.000293084,0.00007246392,0.0004985759,0.0008241524,0.0002712767,0.0003564004],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02609652,"threshold_uncertainty_score":0.1380132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05845036820794709,"score_gpt":0.3342493552653439,"score_spread":0.2757989870573968,"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."}}