{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03408197,0.001408076,0.002665689,0.004129973,0.001645725,0.002394015,0.002786054,0.002991158,0.00869707],"category_scores_gemma":[0.2247749,0.0007367272,0.001977308,0.004016583,0.006535849,0.003583269,0.003159393,0.0056684,0.001843597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00119931,"about_ca_system_score_gemma":0.003130291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001098009,"about_ca_topic_score_gemma":0.0006379843,"domain_scores_codex":[0.9369326,0.04834054,0.002019008,0.006056562,0.005923919,0.0007273132],"domain_scores_gemma":[0.7735054,0.2004131,0.005376238,0.01471221,0.004671964,0.00132112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001328883,0.0004592483,0.03202653,0.002314045,0.001969881,0.001932263,0.001124567,0.07976096,0.007717563,0.4794491,0.03274041,0.3591765],"study_design_scores_gemma":[0.0001896948,0.0005425796,0.006261969,0.0003214991,0.0001558195,0.001048166,0.0002712813,0.3274904,0.003108087,0.6431319,0.01736018,0.0001183975],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008310844,0.0006720991,0.9859542,0.0008310999,0.0004193397,0.0002515538,0.000457314,0.000816732,0.00228681],"genre_scores_gemma":[0.3078554,0.0006875091,0.6828467,0.001155877,0.0008572124,0.002643807,0.00124371,0.00068965,0.002020235],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03408197,"threshold_uncertainty_score":0.1802448,"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."}}