{"id":"W4396953780","doi":"10.1161/circ.149.suppl_1.mp26","title":"Abstract MP26: Dietary Patterns, Metabolome Profile and Risk of Type 2 Diabetes","year":2024,"lang":"en","type":"article","venue":"Circulation","topic":"Diet and metabolism studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Medicine; Metabolome; Type 2 diabetes; Diabetes mellitus; Bioinformatics; Internal medicine; Endocrinology; Metabolite; 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":[0.001025108,0.0007301209,0.000370367,0.0007226122,0.0004341797,0.000748865,0.0003731627,0.000344989,0.005030867],"category_scores_gemma":[0.001996986,0.0001854382,0.0007482005,0.001477513,0.000228579,0.0003021519,0.0007697018,0.0005319914,0.0006357306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002161101,"about_ca_system_score_gemma":0.0002699158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002877212,"about_ca_topic_score_gemma":0.002138559,"domain_scores_codex":[0.99958,0.0001335042,0.00004002853,0.0001412424,0.00006218619,0.0000430162],"domain_scores_gemma":[0.9989952,0.0002209249,0.0004302484,0.0001151053,0.0001193578,0.0001190911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001266261,0.00009639619,0.9844944,0.0001090843,0.0006053614,0.00008916941,0.00004271697,0.001024424,0.002539739,0.00004879487,0.0006217651,0.009061831],"study_design_scores_gemma":[0.00002652672,0.000211497,0.9948912,0.00001597064,0.0001935108,0.0002385718,0.0000604543,0.002764499,0.0007950264,0.0001445923,0.000648888,0.000009260328],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918171,0.0003845417,0.00200521,0.0001702596,0.00002063113,0.00003065317,0.004803263,0.00004814761,0.0007203303],"genre_scores_gemma":[0.9944664,0.00009811486,0.001565977,0.00004445026,0.00002511696,0.00003782164,0.002891032,0.00001372317,0.0008574241],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005030867,"threshold_uncertainty_score":0.01682997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02115851836279689,"score_gpt":0.2709450302671437,"score_spread":0.2497865119043468,"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."}}