{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003649765,0.0003730553,0.0009223868,0.00008373828,0.0003278368,0.000008367306,0.0004216868,0.0004044981,0.00001306387],"category_scores_gemma":[0.01691444,0.0003545198,0.0002586223,0.00011271,0.0003110469,0.000003456557,0.0002021678,0.0001634743,0.00004773195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000100351,"about_ca_system_score_gemma":0.0001339685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000274007,"about_ca_topic_score_gemma":0.00005155415,"domain_scores_codex":[0.9958359,0.0009864208,0.001088719,0.0009972957,0.00007850426,0.001013174],"domain_scores_gemma":[0.9964359,0.001805208,0.0005740217,0.0007220386,0.0002792481,0.000183593],"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":[0.0001295426,0.00008464156,0.1894742,0.000350912,0.001109758,0.000003454921,0.0005711722,0.3439932,0.4289038,0.001280077,0.01330997,0.02078933],"study_design_scores_gemma":[0.003162867,0.00357489,0.424475,0.00008050264,0.0004218869,0.0001255222,0.001016651,0.07731766,0.002093918,0.08805874,0.3971586,0.002513848],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4165033,0.005225777,0.5747778,0.001941475,0.0006000136,0.0005556023,0.00004787224,0.00004014689,0.0003080334],"genre_scores_gemma":[0.5735242,0.0003529096,0.4182366,0.00483078,0.001455704,0.0004106053,0.0003109854,0.00006005215,0.0008182238],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4268099,"threshold_uncertainty_score":0.9998907,"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."}}