{"id":"W4388267966","doi":"10.1016/j.jcjd.2023.10.235","title":"METABOLOME-WIDE MENDELIAN RANDOMIZATION FOR YOUTH-ONSET TYPE 2 DIABETES","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Diabetes","topic":"Diabetes Management and Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Mendelian randomization; Confounding; Single-nucleotide polymorphism; Medicine; Genome-wide association study; Metabolome; Instrumental variable; Type 2 diabetes; Mendelian inheritance; Genetic association; Computational biology; Genetics; Bioinformatics; Diabetes mellitus; Genetic variants; Internal medicine; Gene; Genotype; Biology; Endocrinology; Metabolite; Computer science; Machine learning","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01575665,0.001950927,0.003846148,0.001432959,0.001127742,0.001444389,0.001785975,0.002267374,0.01034615],"category_scores_gemma":[0.02753546,0.0009546494,0.005111949,0.001818969,0.0009291375,0.0009388421,0.001363035,0.001624726,0.0004485952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008191644,"about_ca_system_score_gemma":0.001442494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007717752,"about_ca_topic_score_gemma":0.004897779,"domain_scores_codex":[0.9720427,0.02040811,0.001071858,0.004455152,0.000966882,0.001055283],"domain_scores_gemma":[0.9915894,0.004964051,0.0007078115,0.002219015,0.0003020598,0.0002177446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"observational","study_design_scores_codex":[0.3973449,0.001860451,0.1963417,0.003803445,0.1587493,0.005569518,0.001702036,0.01801709,0.01736301,0.0445926,0.02719882,0.1274572],"study_design_scores_gemma":[0.1068059,0.0264037,0.336836,0.0008604663,0.143742,0.007619167,0.001128866,0.2392331,0.01162855,0.0839734,0.04092547,0.000843358],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7434162,0.004633266,0.2284873,0.001540511,0.001707079,0.003405062,0.01000896,0.002906695,0.003894949],"genre_scores_gemma":[0.9467978,0.0004559449,0.04489616,0.000498452,0.000120998,0.003019246,0.001659946,0.0002543143,0.002297102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01575665,"threshold_uncertainty_score":0.08333015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03173341264056771,"score_gpt":0.2765497917186303,"score_spread":0.2448163790780625,"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."}}