{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02360457,0.001758384,0.001868387,0.003329617,0.0007162651,0.001443205,0.002713752,0.001416454,0.004260716],"category_scores_gemma":[0.1161196,0.001189988,0.003047858,0.004118362,0.001297457,0.002321863,0.002060212,0.003271112,0.0007247619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001128104,"about_ca_system_score_gemma":0.002597592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01732398,"about_ca_topic_score_gemma":0.01576786,"domain_scores_codex":[0.9806128,0.01509513,0.0007149239,0.002463178,0.0008112839,0.0003027121],"domain_scores_gemma":[0.7595519,0.2258339,0.006334278,0.005397135,0.002500001,0.000382822],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002832786,0.0002401831,0.09938908,0.001000117,0.002600387,0.0007016673,0.0005682348,0.5472034,0.001071297,0.1671113,0.005918513,0.1739126],"study_design_scores_gemma":[0.0001235317,0.00007486835,0.0066177,0.0001166734,0.0003927491,0.0001697222,0.00009623009,0.8158552,0.0004959764,0.1729047,0.003101186,0.00005142717],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01650203,0.0005047396,0.9806495,0.0002941124,0.00003949822,0.0001329334,0.001075618,0.0003609454,0.0004406162],"genre_scores_gemma":[0.2594667,0.001538156,0.7314138,0.0003968769,0.0001103733,0.001026051,0.004734613,0.0002135408,0.001099888],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02360457,"threshold_uncertainty_score":0.1248344,"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."}}