{"id":"W2789976276","doi":"10.1161/circgen.118.002109","title":"Noncoding Genetic Variation and Gene Expression","year":2018,"lang":"en","type":"letter","venue":"Circulation Genomic and Precision Medicine","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Medicine; Gene; Gene expression; Genetics; Genetic variation; Variation (astronomy); Computational biology; Biology","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":[0.0008624664,0.0002442535,0.0003338869,0.0006101104,0.0003333608,0.001394882,0.0003776908,0.000627209,0.003048322],"category_scores_gemma":[0.001825148,0.0001138604,0.0003814294,0.00135606,0.0006263697,0.0004065814,0.0005594303,0.0007102827,0.0007108824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005771456,"about_ca_system_score_gemma":0.0004488873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003651341,"about_ca_topic_score_gemma":0.00321173,"domain_scores_codex":[0.9991705,0.0001682707,0.00004252751,0.0003761719,0.0001572184,0.00008529014],"domain_scores_gemma":[0.9993425,0.0002757631,0.0001740007,0.00006719922,0.00009653718,0.00004402298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001558215,0.0003428872,0.2545957,0.0018016,0.001464555,0.002694563,0.001607372,0.00419702,0.1138546,0.1500403,0.03037503,0.4374683],"study_design_scores_gemma":[0.00008314037,0.0004779931,0.6781775,0.0005694291,0.0004074229,0.003508721,0.0004920925,0.008430955,0.01533682,0.09916322,0.1932163,0.0001364128],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"editorial","genre_scores_codex":[0.5467448,0.2092221,0.1061088,0.02585856,0.004623189,0.0002208975,0.02607632,0.0007729463,0.08037238],"genre_scores_gemma":[0.9245948,0.03128444,0.01343726,0.00498348,0.001250894,0.0001834035,0.006623253,0.0001500715,0.01749235],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.003651341,"threshold_uncertainty_score":0.0101977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02076459442700723,"score_gpt":0.2672616178428595,"score_spread":0.2464970234158523,"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."}}