{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001053519,0.0002681457,0.0007548761,0.0004843657,0.0001795311,0.0002223292,0.0003954923,0.0003652228,0.01142577],"category_scores_gemma":[0.008754753,0.0002553781,0.0001158013,0.001700874,0.00003009954,0.0002042553,0.000153944,0.0003853427,0.0002237223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003685322,"about_ca_system_score_gemma":0.0002878864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007569466,"about_ca_topic_score_gemma":0.008198958,"domain_scores_codex":[0.9964853,0.001269618,0.000705792,0.00057834,0.0006461319,0.0003148219],"domain_scores_gemma":[0.9983058,0.000431851,0.0002813078,0.0004132967,0.000384692,0.000183046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004236972,0.0001610746,0.0004125604,0.0001546056,0.0004092452,0.000004965356,0.002313785,0.00002445873,0.000008367013,0.00001914602,0.9961549,0.0002945355],"study_design_scores_gemma":[0.001206048,0.0001050058,0.004289245,0.0006726521,0.001489469,8.587606e-8,0.0009109664,0.00006256082,0.00001092876,0.0002306501,0.9907063,0.0003161122],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001583321,0.003579609,5.248327e-7,0.00007400416,0.000147282,0.001499542,0.9928606,0.000034466,0.0002207249],"genre_scores_gemma":[0.005643024,0.00108791,0.00005328322,0.00007440864,0.000309061,0.0003406073,0.992407,0.00002162444,0.00006308025],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01120205,"threshold_uncertainty_score":0.9999899,"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."}}