{"id":"W4388487141","doi":"10.2337/db23-0330","title":"Erythritol as a Potential Causal Contributor to Cardiometabolic Disease: A Mendelian Randomization Study","year":2023,"lang":"en","type":"article","venue":"Diabetes","topic":"Biochemical Analysis and Sensing Techniques","field":"Nursing","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; Public Health Ontario; University of Toronto; University Health Network","funders":"Banting and Best Diabetes Centre, University of Toronto; Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada","keywords":"Mendelian randomization; Erythritol; Confounding; Observational study; Medicine; Internal medicine; Type 2 diabetes; Coronary artery disease; Glycemic; Diabetes mellitus; Physiology; Endocrinology; Biology; Food science; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01623425,0.0008323622,0.001067158,0.0005696844,0.0007203814,0.0008614574,0.0009420086,0.001146939,0.002612385],"category_scores_gemma":[0.0418796,0.0004944759,0.001663493,0.0009060178,0.0007693923,0.0004662563,0.0006743454,0.0008233073,0.0003252631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004306691,"about_ca_system_score_gemma":0.0009727145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002690711,"about_ca_topic_score_gemma":0.001822729,"domain_scores_codex":[0.9757828,0.01811774,0.0009200404,0.003172601,0.001409848,0.0005970798],"domain_scores_gemma":[0.9836619,0.008274633,0.002007461,0.004932953,0.0007310229,0.0003918945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.06906907,0.001456928,0.7774215,0.0008695971,0.02125431,0.003995747,0.002016927,0.003377085,0.01834325,0.0274618,0.00544658,0.06928724],"study_design_scores_gemma":[0.0265992,0.02456058,0.6665056,0.0006273436,0.046766,0.0156581,0.0008783863,0.1261695,0.01081782,0.05550788,0.02547939,0.0004302645],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9161366,0.0019398,0.07608128,0.000895765,0.0002720593,0.001055468,0.0009596985,0.0002968081,0.002362634],"genre_scores_gemma":[0.9793438,0.0002195071,0.01852847,0.00033825,0.00005726413,0.0005460475,0.0002918699,0.00005407593,0.0006206947],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01623425,"threshold_uncertainty_score":0.08585596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008426848621473389,"score_gpt":0.2694711338235777,"score_spread":0.2610442852021043,"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."}}