{"id":"W2188122643","doi":"10.1038/ng.3453","title":"Diabetes in the post-GWAS era","year":2015,"lang":"en","type":"letter","venue":"Nature Genetics","topic":"Diabetes and associated disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Biology; Genome-wide association study; Imputation (statistics); Trait; Computational biology; Chromatin; Quantitative trait locus; Genetics; Evolutionary biology; Gene; Single-nucleotide polymorphism; Computer science; Machine learning; Genotype","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":[0.003735007,0.0005445046,0.001075486,0.0005181014,0.001837986,0.002592783,0.0009460894,0.02270876,0.005052267],"category_scores_gemma":[0.02329999,0.0003567691,0.0006882482,0.0003585308,0.002753419,0.003405615,0.001543778,0.02416917,0.002650281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002173229,"about_ca_system_score_gemma":0.001418494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001870534,"about_ca_topic_score_gemma":0.003389392,"domain_scores_codex":[0.9979261,0.0008143238,0.0002260804,0.0002959858,0.0004903331,0.0002471804],"domain_scores_gemma":[0.9891639,0.007235431,0.0004832364,0.000456166,0.001149594,0.001511782],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002467501,0.00007184159,0.003126983,0.0001032524,0.00004862891,0.004887591,0.0001199605,0.00008816094,0.0003837917,0.0093405,0.9453529,0.03622966],"study_design_scores_gemma":[0.0004241074,0.0001747701,0.006392549,0.0007054783,0.000115179,0.008178472,0.0004738399,0.0007886964,0.0006075325,0.05043845,0.9315935,0.0001074201],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0004938962,0.003155958,0.0001332469,0.972578,0.02197658,0.000003574911,0.0000316849,0.00001529638,0.001611754],"genre_scores_gemma":[0.008995182,0.004264907,0.0002176838,0.8354298,0.1475112,0.00001419046,0.00002818152,0.0000186465,0.003520124],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02270876,"threshold_uncertainty_score":0.01975286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004588891207900747,"score_gpt":0.2251104853662392,"score_spread":0.2205215941583385,"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."}}