{"id":"W965726693","doi":"10.1089/dia.2015.0017","title":"Caffeine Consumption Contributes to Skin Intrinsic Fluorescence in Type 1 Diabetes","year":2015,"lang":"en","type":"article","venue":"Diabetes Technology & Therapeutics","topic":"Coffee research and impacts","field":"Medicine","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto; SickKids Foundation; Hospital for Sick Children","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Eye Institute; Ontario Genomics; National Institutes of Health; Roche Diabetes Care; Insulet Corporation; Genome Canada; Nipro; Abbott Diabetes Care; Heart and Stroke Foundation of Canada; Ontario Genomics Institute; Sanofi; Eli Lilly and Company","keywords":"Medicine; Diabetes mellitus; Type 2 diabetes; Caffeine; Consumption (sociology); Type 1 diabetes; Fluorescence; Endocrinology; Optics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004411855,0.0002202175,0.0004787144,0.0009667903,0.00004136486,0.00002861736,0.0002528849,0.0003180349,0.00002451354],"category_scores_gemma":[0.0006370961,0.000193223,0.0000439323,0.001482584,0.0003136098,0.00007617183,0.0001550502,0.0004925471,0.0002964654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002719801,"about_ca_system_score_gemma":0.0002226267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007702938,"about_ca_topic_score_gemma":0.0000302998,"domain_scores_codex":[0.9982051,0.00006104084,0.0002921435,0.0003256819,0.0002625168,0.0008535294],"domain_scores_gemma":[0.9986538,0.0001429877,0.00005338498,0.0005224679,0.0003611861,0.0002662245],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000135713,0.0002133817,0.778424,0.00004532245,0.0001467671,0.00001516662,0.00009100088,0.000001872292,0.09735728,0.0003027651,0.001006086,0.1222607],"study_design_scores_gemma":[0.005193565,0.003529414,0.4061035,0.0005225076,0.0001900171,0.000008082541,0.0002181878,0.000916215,0.533177,0.004183111,0.04546344,0.0004950039],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9781549,0.007784835,0.00001558793,0.01285944,0.0001716993,0.0006770246,0.000008158446,0.0002453747,0.00008300552],"genre_scores_gemma":[0.9964009,0.0004895849,0.0005510109,0.002318059,0.00004840412,0.00005226469,0.00002603613,0.00003217529,0.00008157251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4358197,"threshold_uncertainty_score":0.7879406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04768855490104439,"score_gpt":0.3285401519752099,"score_spread":0.2808515970741655,"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."}}