{"id":"W2617485063","doi":"10.21037/jphe.2017.02.04","title":"Additive effects of gene regulatory variants in multifactorial disease","year":2017,"lang":"en","type":"article","venue":"Journal of Public Health and Emergency","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Gene; Genetics; Computational biology; Disease; Biology; Medicine; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002802287,0.001101706,0.001128899,0.002366133,0.0005308117,0.0009128146,0.0009626609,0.001058745,0.00597089],"category_scores_gemma":[0.007593933,0.0004585582,0.001503693,0.001313783,0.0008552391,0.0005437668,0.001548148,0.001155935,0.0003977093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004299722,"about_ca_system_score_gemma":0.0004971329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00285897,"about_ca_topic_score_gemma":0.003550688,"domain_scores_codex":[0.995892,0.001844733,0.0002776812,0.0009324002,0.0007282019,0.0003248953],"domain_scores_gemma":[0.9951831,0.002865841,0.000664117,0.0005799364,0.0002696273,0.0004373546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003449842,0.0004064792,0.8181908,0.0003812969,0.006671706,0.0140121,0.0009589123,0.004373607,0.05893357,0.0224232,0.002616964,0.06758156],"study_design_scores_gemma":[0.0001680624,0.0008127436,0.9319454,0.0001447787,0.004133765,0.01323599,0.000357636,0.009106039,0.004046443,0.03195323,0.003951659,0.0001442451],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9468588,0.009861554,0.02939627,0.002531776,0.0004872265,0.00008787093,0.001494727,0.0004963678,0.008785355],"genre_scores_gemma":[0.9919347,0.001213368,0.005160987,0.0001884975,0.0001749224,0.00002059667,0.0002143398,0.00005424431,0.001038488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00597089,"threshold_uncertainty_score":0.01997465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01946204723050003,"score_gpt":0.2972029394970108,"score_spread":0.2777408922665108,"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."}}