{"id":"W2292274773","doi":"10.1002/gepi.21940","title":"Causal Genetic Inference Using Haplotypes as Instrumental Variables","year":2015,"lang":"en","type":"article","venue":"Genetic Epidemiology","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Institutes of Health; National Institute of General Medical Sciences; GlaxoSmithKline","keywords":"Single-nucleotide polymorphism; Haplotype; Causal inference; Inference; Biology; Instrumental variable; Genetic association; Genetics; Computational biology; Genotype; Gene; Statistics; Computer science; Mathematics; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00133401,0.0003823395,0.000658387,0.0001061515,0.0001610717,0.00001339452,0.0004447996,0.000604686,0.00009722455],"category_scores_gemma":[0.004895248,0.0003716988,0.0001529956,0.0001692005,0.0003395849,0.000005461145,0.0003854712,0.0002097221,0.000184573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008940314,"about_ca_system_score_gemma":0.0005552694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009709442,"about_ca_topic_score_gemma":0.000139283,"domain_scores_codex":[0.9960207,0.001130536,0.0009242133,0.0008522625,0.000144726,0.0009275936],"domain_scores_gemma":[0.997984,0.0002882767,0.000391551,0.0006973604,0.0002009263,0.0004379106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009936042,0.0001087827,0.9356695,0.00001527776,0.0002297449,0.00001483095,0.0001098161,0.02749557,0.02059262,0.0009818848,0.006676053,0.00800655],"study_design_scores_gemma":[0.003963738,0.003717776,0.7987793,0.00005370915,0.0003592895,0.001323189,0.0007532733,0.02898448,0.004031232,0.07465084,0.08114839,0.002234794],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9409816,0.003092303,0.05284378,0.0004683838,0.000775458,0.0002783276,0.00002513899,0.00003785643,0.001497188],"genre_scores_gemma":[0.8549453,0.0004489836,0.1411856,0.002124789,0.0006475876,0.00004534835,0.0001169486,0.00004812431,0.0004373832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1368902,"threshold_uncertainty_score":0.9998735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07050635572516877,"score_gpt":0.344059698794827,"score_spread":0.2735533430696582,"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."}}