{"id":"W4281623698","doi":"10.2337/db22-74-lb","title":"74-LB: Real-World Glycemic Outcomes in Adult Patients with Type 1 Diabetes Using a Real-Time Continuous Glucose Monitor Compared with an Intermittently Scanned Glucose Monitor and Self-Measured Blood Glucose—A Retrospective Observational Study from the Canadian","year":2022,"lang":"en","type":"article","venue":"Diabetes","topic":"Diabetes Management and Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Systems, Applications & Products in Data Processing (Canada)","funders":"","keywords":"Glycemic; Medicine; Continuous glucose monitoring; Target range; Cohort; Type 1 diabetes; Diabetes mellitus; Internal medicine; Type 2 diabetes; Cohort study; Endocrinology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001046201,0.0004417952,0.0005648045,0.0007715884,0.0009323005,0.0008702746,0.0009777704,0.0004835185,0.001090115],"category_scores_gemma":[0.002248672,0.0003893159,0.001357644,0.002923878,0.0003683664,0.0003824935,0.0005289362,0.0008237553,0.000180069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00457305,"about_ca_system_score_gemma":0.003919804,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5946952,"about_ca_topic_score_gemma":0.5486144,"domain_scores_codex":[0.9987784,0.0001422504,0.0001553437,0.0003132377,0.0004131317,0.0001975423],"domain_scores_gemma":[0.9974096,0.0001381215,0.001417572,0.0001983304,0.0004741351,0.0003621546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000371335,0.00003684047,0.99821,0.00002458443,0.0001940832,0.00002060897,0.00003043642,0.00003199901,0.0000641014,0.00001735957,0.0002354398,0.0007631648],"study_design_scores_gemma":[0.00005388939,0.00009725766,0.999065,0.0000139508,0.000124863,0.00007430581,0.00007138053,0.0001732976,0.00003881037,0.000009241543,0.0002691914,0.000008894238],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957541,0.0005078662,0.0001127775,0.00006618276,0.00001316361,0.0000425086,0.002998819,0.000005625765,0.0004988521],"genre_scores_gemma":[0.9970224,0.0001961828,0.0001930326,0.00008999025,0.00001826314,0.00002629414,0.002274731,0.000003846249,0.0001751356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4053048,"threshold_uncertainty_score":0.8153834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02288396742328819,"score_gpt":0.2674715154584405,"score_spread":0.2445875480351523,"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."}}