{"id":"W6908908150","doi":"10.3389/fgene.2024.1356696.s001","title":"DataSheet1_Genetically predicted 1091 blood metabolites and 309 metabolite ratios in relation to risk of type 2 diabetes: a Mendelian randomization study.CSV","year":2024,"lang":"en","type":"dataset","venue":"Figshare","topic":"Psychoanalysis and Social Critique","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mendelian randomization; Metabolite; Metabolomics; Type 2 diabetes; Genome-wide association study; SNP; Genetic association; Metabolome","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.004067514,0.000647422,0.0007126809,0.001425664,0.001002728,0.0009669865,0.001839276,0.0007654732,0.04533754],"category_scores_gemma":[0.01358218,0.000436813,0.001298814,0.003091797,0.0004960584,0.0002877399,0.0005340648,0.0007100567,0.00345074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00120311,"about_ca_system_score_gemma":0.003265354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07181758,"about_ca_topic_score_gemma":0.07042854,"domain_scores_codex":[0.9969091,0.001036499,0.0002720952,0.0008806281,0.0006399031,0.0002617229],"domain_scores_gemma":[0.9948916,0.002247138,0.0006663266,0.001391647,0.0005497785,0.0002534504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0229772,0.0007967345,0.6742385,0.001035978,0.003559901,0.001876388,0.0005764329,0.004064544,0.006717782,0.007338015,0.1613147,0.1155038],"study_design_scores_gemma":[0.004802688,0.001892617,0.8060153,0.0004128405,0.002793156,0.002933559,0.0003161626,0.01637716,0.003597591,0.007643052,0.1530029,0.0002129202],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.4177903,0.001321119,0.04373077,0.001516394,0.0006230728,0.002867181,0.5140602,0.002309199,0.01578168],"genre_scores_gemma":[0.7342519,0.0006163457,0.04174955,0.0008265888,0.0001739804,0.003915862,0.1972787,0.001194614,0.01999236],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07181758,"threshold_uncertainty_score":0.1516691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02170916689891283,"score_gpt":0.3193962987954067,"score_spread":0.2976871318964938,"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."}}