{"id":"W7116719729","doi":"10.1016/j.diabres.2025.113065","title":"Comparison of demographics and treatment outcome in children with type 1 diabetes related to the economic background of their country of residence: observations from the SWEET database","year":2025,"lang":"en","type":"article","venue":"Diabetes Research and Clinical Practice","topic":"Diabetes Management and Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alberta Children's Hospital; Dalhousie University; McGill University Health Centre","funders":"Novo Nordisk; Medtronic Europe","keywords":"Type 1 diabetes; Demographics; Diabetes mellitus; MEDLINE; National database; Low and middle income countries; Outcome (game theory)","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":[0.0009267053,0.0003114509,0.0005360888,0.001861611,0.000473346,0.0008851481,0.0005646562,0.0005772944,0.002205357],"category_scores_gemma":[0.003810236,0.0003060834,0.001102213,0.003605293,0.0002592549,0.0009798253,0.001033195,0.0009185891,0.0003879239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008554946,"about_ca_system_score_gemma":0.0006720883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02551907,"about_ca_topic_score_gemma":0.02872762,"domain_scores_codex":[0.9986665,0.0002546883,0.0002501124,0.0003219857,0.0002024104,0.0003043259],"domain_scores_gemma":[0.9963526,0.0004789589,0.00223541,0.0002015926,0.0003139319,0.0004174985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009945329,0.00002061387,0.9991457,0.000008326789,0.00006847689,0.00002957194,0.00004404152,0.0000289231,0.00002701103,0.00001355126,0.0002162019,0.0002980222],"study_design_scores_gemma":[0.000004822706,0.00002858532,0.9993667,0.000006568807,0.00001814692,0.00007385089,0.0002907908,0.00005929142,0.00001493407,0.000008938153,0.0001243138,0.000003097675],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903581,0.0002246776,0.00004801968,0.0000629107,0.000008334301,0.000008308795,0.008770036,0.000004378887,0.0005152903],"genre_scores_gemma":[0.9879287,0.0002610429,0.00007753253,0.00004585697,0.000009248633,0.00002266626,0.01147193,0.000006712943,0.0001763321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02551907,"threshold_uncertainty_score":0.05074108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1798908924802264,"score_gpt":0.4877275426234891,"score_spread":0.3078366501432626,"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."}}