{"id":"W3138924051","doi":"10.1111/biom.13456","title":"A generalized robust allele‐based genetic association test","year":2021,"lang":"en","type":"article","venue":"Biometrics","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Covariate; Test statistic; Allele; Statistics; Allele frequency; Sample size determination; Mathematics; Type I and type II errors; Statistic; Econometrics; Statistical hypothesis testing; Genetics; Biology","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":[0.008491355,0.0008479943,0.002022941,0.001631442,0.0003506167,0.00119495,0.003147915,0.001561407,0.003824767],"category_scores_gemma":[0.03906726,0.0002903806,0.001639816,0.001819716,0.001108521,0.0009762015,0.001331825,0.001287987,0.001208803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004341535,"about_ca_system_score_gemma":0.001529573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001824848,"about_ca_topic_score_gemma":0.0009838317,"domain_scores_codex":[0.9904417,0.006005751,0.000384872,0.001703797,0.001251175,0.0002126877],"domain_scores_gemma":[0.9851674,0.01009746,0.001733909,0.001861494,0.0009214248,0.0002183135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001284602,0.0003515844,0.05062611,0.0009170591,0.004556866,0.001648507,0.0002292829,0.2332443,0.0119447,0.1312614,0.01386274,0.5500729],"study_design_scores_gemma":[0.0003628522,0.0007805874,0.02173082,0.00009490476,0.0006455244,0.001668752,0.00007487179,0.8652938,0.003658643,0.09608882,0.009411364,0.0001890913],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02401656,0.000381632,0.971923,0.0003393674,0.00008421067,0.0001896606,0.0009073116,0.0009081777,0.001250085],"genre_scores_gemma":[0.4555386,0.0005095538,0.5358722,0.0006698552,0.0002267047,0.001044287,0.002958158,0.0002882531,0.002892388],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008491355,"threshold_uncertainty_score":0.04490709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02640852470180581,"score_gpt":0.2660775755313801,"score_spread":0.2396690508295743,"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."}}