{"id":"W2989237060","doi":"10.1002/gepi.22265","title":"Powerful rare variant association testing in a copula‐based joint analysis of multiple phenotypes","year":2019,"lang":"en","type":"article","venue":"Genetic Epidemiology","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Univariate; Copula (linguistics); Genome-wide association study; Genetic association; Multivariate statistics; Phenotype; Computational biology; Type I and type II errors; Statistic; Biology; Statistical power; Statistics; Test statistic; Genetics; Statistical hypothesis testing; Mathematics; Single-nucleotide polymorphism; Econometrics; Genotype; 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"],"consensus_categories":[],"category_scores_codex":[0.002724488,0.0002305448,0.001065447,0.0003324112,0.00003743033,0.000003475687,0.0002281008,0.0005274411,0.0001255504],"category_scores_gemma":[0.011786,0.0002271791,0.0002916985,0.0007187876,0.00005598233,0.000002478948,0.0001108851,0.000172552,0.00002908844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001046127,"about_ca_system_score_gemma":0.000150753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005298849,"about_ca_topic_score_gemma":0.0006473561,"domain_scores_codex":[0.9962159,0.001221042,0.001187473,0.000651901,0.0001136625,0.0006100211],"domain_scores_gemma":[0.9967052,0.001507561,0.0008929073,0.0005784924,0.0002284288,0.00008744736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004178511,0.00006720373,0.8776613,0.00001623364,0.0003823182,0.00000145265,0.0000275076,0.096777,0.02371282,0.00003640725,0.0003921046,0.0008838607],"study_design_scores_gemma":[0.0007355845,0.0002726624,0.9218795,0.00001304698,0.000217099,0.000002295464,0.00004259659,0.07484955,0.0005668777,0.0003608096,0.0008507203,0.0002092739],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.983292,0.0008031544,0.01413523,0.000487884,0.0002378674,0.0003316111,0.00005904445,0.00001270242,0.0006404479],"genre_scores_gemma":[0.9586485,0.00005817613,0.03968217,0.0009527043,0.00007389365,0.00002738917,0.0003019274,0.00002102604,0.0002342386],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04421818,"threshold_uncertainty_score":0.9965382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03022826210147216,"score_gpt":0.2790816270850318,"score_spread":0.2488533649835596,"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."}}