{"id":"W4411294790","doi":"10.2337/db25-1995-lb","title":"1995-LB: Achieving Equitable Glycemic Control with Automated Insulin Delivery (AID)—A Real-World Analysis of MiniMed 780G System Use across Canada","year":2025,"lang":"en","type":"article","venue":"Diabetes","topic":"Diabetes Management and Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Glycemic; Insulin delivery; Control (management); Medicine; Insulin; Computer science; Diabetes mellitus; Internal medicine; Endocrinology; Artificial intelligence","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":[0.001966627,0.0005698742,0.0005997685,0.002059986,0.002091645,0.002298377,0.001924815,0.0005221308,0.002060564],"category_scores_gemma":[0.005651094,0.0004064661,0.001301944,0.009940313,0.0009664753,0.0006261751,0.001292776,0.0009262325,0.0002622041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06693084,"about_ca_system_score_gemma":0.06783338,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9977916,"about_ca_topic_score_gemma":0.9969513,"domain_scores_codex":[0.9966297,0.0002567513,0.0002910469,0.0003930989,0.001670291,0.0007590418],"domain_scores_gemma":[0.9927932,0.0004371967,0.001638122,0.0002596955,0.003732669,0.001139205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003888812,0.00009016035,0.9761945,0.00029299,0.0003544929,0.0001066571,0.0009115521,0.001197519,0.0001643309,0.0004752091,0.0062242,0.01359955],"study_design_scores_gemma":[0.00002066051,0.00005357744,0.99535,0.00007111328,0.00006896559,0.00003942657,0.000868379,0.0009332548,0.00006843843,0.00003095677,0.002472799,0.00002235889],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9263477,0.002242573,0.0005481698,0.001043214,0.0000223702,0.0003139415,0.06487067,0.00006345302,0.004547967],"genre_scores_gemma":[0.9805034,0.000975072,0.000804411,0.0003293488,0.00001241273,0.00009185448,0.0160375,0.00002167827,0.00122434],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06693084,"threshold_uncertainty_score":0.4856195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01083891462488457,"score_gpt":0.2751298430385795,"score_spread":0.2642909284136949,"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."}}