{"id":"W4210896630","doi":"10.1093/hmg/ddac039","title":"Novel diabetes gene discovery through comprehensive characterization and integrative analysis of longitudinal gene expression changes","year":2022,"lang":"en","type":"article","venue":"Human Molecular Genetics","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Institutes of Health; National Heart, Lung, and Blood Institute; National Institute of General Medical Sciences; American Heart Association; Canadian Thoracic Society; National Human Genome Research Institute","keywords":"Type 2 diabetes; Biology; Gene; Genetics; Diabetes mellitus; Disease; Gene regulatory network; Gene expression; Enhancer; Biobank; Computational biology; Bioinformatics; Internal medicine; Endocrinology; Medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008518548,0.0002156979,0.0003155144,0.000118838,0.0002077234,0.00003911107,0.00020299,0.00008822459,0.00001915897],"category_scores_gemma":[0.000005354502,0.0002133226,0.000128452,0.0002561605,0.000125838,0.000007048955,0.0005260976,0.0001144363,2.168969e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001718696,"about_ca_system_score_gemma":0.00002465963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007509563,"about_ca_topic_score_gemma":0.00001375688,"domain_scores_codex":[0.9988601,0.00006740228,0.0002950454,0.0003519883,0.0002024636,0.0002230042],"domain_scores_gemma":[0.9991804,0.000008649458,0.0002675433,0.0003910819,0.000102902,0.00004937286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002260994,0.00006941929,0.002385609,0.00001725118,0.0005334467,0.000001677026,0.0003283089,0.003002399,0.9930909,0.000139613,0.00003028986,0.0003785272],"study_design_scores_gemma":[0.0004773508,0.0004860714,0.03870861,0.00001060002,0.0004653193,0.000005789212,0.0002331829,0.002744799,0.9551528,0.00009454116,0.001293042,0.0003279033],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8816737,0.001534036,0.1161297,0.00002901586,0.0000679638,0.0001938481,0.0003338079,0.000005453418,0.00003248943],"genre_scores_gemma":[0.9916837,0.0003167853,0.004265313,0.0003064628,0.00006235748,0.00004254075,0.003218702,0.00002613278,0.00007796993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1118644,"threshold_uncertainty_score":0.8699044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01612922264095759,"score_gpt":0.248206098315702,"score_spread":0.2320768756747444,"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."}}