{"id":"W2777001983","doi":"10.1002/gepi.22107","title":"Estimating and testing direct genetic effects in directed acyclic graphs using estimating equations","year":2017,"lang":"en","type":"article","venue":"Genetic Epidemiology","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"National Institute of General Medical Sciences; Research and Development Corporation of Newfoundland and Labrador; Natural Sciences and Engineering Research Council of Canada; Memorial University of Newfoundland; National Institutes of Health; National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; Helmholtz-Gemeinschaft","keywords":"Directed acyclic graph; Generalized estimating equation; Mathematics; Statistics; Computational biology; Genetics; Biology; Econometrics; Combinatorics","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","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00180719,0.0003864341,0.0008195124,0.0001638346,0.0008394588,0.00004223316,0.0004472242,0.0004480076,0.000005745554],"category_scores_gemma":[0.04483061,0.000396608,0.0001155958,0.0001470082,0.0004038637,0.00001027808,0.0004557707,0.0002598828,0.00000656987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004615841,"about_ca_system_score_gemma":0.0001143235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001105772,"about_ca_topic_score_gemma":0.000311853,"domain_scores_codex":[0.9958796,0.001104497,0.001021814,0.000976401,0.0000913634,0.000926319],"domain_scores_gemma":[0.99569,0.002137411,0.0009010657,0.0009550998,0.0001195067,0.000196889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00000997391,0.00003610018,0.9053662,0.00005663704,0.0000661712,0.00001061532,0.00005532717,0.04537786,0.01447038,0.00006431547,0.0001268305,0.03435955],"study_design_scores_gemma":[0.0004472707,0.0001270774,0.5909667,0.00006646291,0.00004682284,0.00004301262,0.000009585684,0.4017257,0.00008885277,0.006169869,0.00004275003,0.0002659008],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8919209,0.002863093,0.1033915,0.0002507326,0.0006188527,0.000437273,0.00000906865,0.00004584483,0.0004627874],"genre_scores_gemma":[0.5360537,0.00007523581,0.4632558,0.0002159868,0.0002565876,0.00006253092,0.00001853306,0.00003132576,0.00003027422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3598643,"threshold_uncertainty_score":0.9998486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05492468429858118,"score_gpt":0.3429694724110389,"score_spread":0.2880447881124577,"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."}}