{"id":"W2753354524","doi":"10.1111/biom.12767","title":"Eigenvalue Significance Testing for Genetic Association","year":2017,"lang":"en","type":"article","venue":"Biometrics","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Human Genome Research Institute; Ontario Genomics Institute; National Institute of Mental Health; National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; North Carolina State University","keywords":"Association (psychology); Computational biology; Computer science; Mathematics; Genetics; Biology; Psychology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0006753693,0.000103254,0.0001429945,0.0001124328,0.0004452308,0.00006622136,0.0003075426,0.0002256277,0.000004002796],"category_scores_gemma":[0.01391301,0.0001069004,0.00008106105,0.0002032701,0.00003448583,0.000002634701,0.00008564474,0.00004184548,0.00001438559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006264134,"about_ca_system_score_gemma":0.00007799488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005110402,"about_ca_topic_score_gemma":0.00001257948,"domain_scores_codex":[0.9990369,0.0000401577,0.0002169856,0.0002923274,0.0001096236,0.0003039789],"domain_scores_gemma":[0.9985947,0.0001657838,0.0004457977,0.0004406202,0.0002910393,0.00006204667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007686122,0.00003477745,0.8740779,0.00001181159,0.00005450744,3.5057e-7,0.000006110463,0.00006757944,0.08872478,0.00003293079,0.009658624,0.02732296],"study_design_scores_gemma":[0.0003920743,0.0002452886,0.9453398,0.000002985485,0.000027661,0.000001290797,0.000009852627,0.0006459798,0.00460411,0.0003445494,0.04821389,0.0001725435],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9598382,0.0006474253,0.03627663,0.0004499756,0.0006609994,0.0003676543,0.00009358178,0.0000168633,0.001648717],"genre_scores_gemma":[0.9330941,0.00008673624,0.06376894,0.0001593941,0.0005557168,0.00006209006,0.00005099671,0.00001849277,0.002203579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08412067,"threshold_uncertainty_score":0.9943932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05780171389339653,"score_gpt":0.319747633378039,"score_spread":0.2619459194846425,"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."}}