{"id":"W2767220310","doi":"10.1186/s13104-017-2911-3","title":"Genetic model misspecification in genetic association studies","year":2017,"lang":"en","type":"article","venue":"BMC Research Notes","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"FP7 Health; National Human Genome Research Institute; National Institutes of Health; Canadian Institutes of Health Research; European Commission","keywords":"Minor allele frequency; Sample size determination; Statistics; Allele frequency; Type I and type II errors; Inference; Genetic association; Econometrics; Trait; Statistical power; Allele; Genetic model; Additive model; A priori and a posteriori; Mathematics; Single-nucleotide polymorphism; Computer science; Genetics; Biology; Gene; Genotype; Artificial intelligence","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":[0.00199917,0.0001197551,0.0001995644,0.000109009,0.0004609675,0.00007247968,0.0004532965,0.0002274503,0.000008452803],"category_scores_gemma":[0.01656706,0.0001174749,0.00006756234,0.0000757012,0.000146421,0.000005953851,0.000269885,0.0001812122,0.00005184631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001539196,"about_ca_system_score_gemma":0.0001783313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001778676,"about_ca_topic_score_gemma":0.001362715,"domain_scores_codex":[0.9979998,0.0004197336,0.0003192638,0.0004404494,0.0003068227,0.0005139172],"domain_scores_gemma":[0.9981065,0.0003888569,0.0002030911,0.0007730236,0.0004555128,0.00007305079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002512496,0.00005589931,0.9560559,0.00001965948,0.00004043863,0.000001314543,0.0001021709,0.006253297,0.02966514,0.00007061542,0.004950744,0.002759674],"study_design_scores_gemma":[0.0003944046,0.00008363999,0.9807189,0.00001292756,0.00000648904,0.00000110337,0.0001100501,0.01092758,0.002351368,0.003932691,0.001323118,0.0001377957],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919165,0.002300989,0.003164962,0.001405086,0.0001051221,0.0002830813,0.00000962263,0.000007072335,0.0008075437],"genre_scores_gemma":[0.9787142,0.002754734,0.01615296,0.00005782169,0.000312843,0.0001145416,0.00001729476,0.0000187253,0.00185691],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02731378,"threshold_uncertainty_score":0.9917168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3194523546295473,"score_gpt":0.4781043599296638,"score_spread":0.1586520053001165,"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."}}