{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004259731,0.0001511743,0.0002116557,0.0002141651,0.0001063918,0.00003721836,0.000152412,0.0003568133,0.0001047746],"category_scores_gemma":[0.005108809,0.000160621,0.0001475152,0.001360061,0.00002203375,0.000001664088,0.00008756541,0.00007851538,0.0000523334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001076075,"about_ca_system_score_gemma":0.0002310632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002297725,"about_ca_topic_score_gemma":0.00003678276,"domain_scores_codex":[0.9985294,0.0001617447,0.0003214794,0.0004025992,0.0002137393,0.0003709734],"domain_scores_gemma":[0.9987555,0.0001628379,0.0002102863,0.0003633772,0.0004014914,0.0001065163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001044673,0.0003224191,0.7106699,0.0000169502,0.000136282,0.00001293941,0.000009682335,0.00228207,0.2035352,0.00003263935,0.07844578,0.004525641],"study_design_scores_gemma":[0.001747754,0.0002934324,0.6527981,0.000005092413,0.00008930942,0.00001551628,0.00003361402,0.003776162,0.02988583,0.000101643,0.3107557,0.000497882],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9584796,0.003763219,0.03392542,0.001598735,0.0004466939,0.0001679757,0.0001154909,0.0000363961,0.001466449],"genre_scores_gemma":[0.9094422,0.0009774055,0.07950138,0.002080789,0.0005344661,0.00003834536,0.001016183,0.00003964481,0.006369569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2323099,"threshold_uncertainty_score":0.6549935,"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."}}