{"id":"W2948071322","doi":"10.1111/dme.14046","title":"Modelling potential cost savings from use of real‐time continuous glucose monitoring in pregnant women with Type 1 diabetes","year":2019,"lang":"en","type":"article","venue":"Diabetic Medicine","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Sunnybrook Hospital; University of Toronto; Mount Sinai Hospital","funders":"Breakthrough T1D Canada; Tommy's; Medtronic Europe; FedDev Ontario; Juvenile Diabetes Research Foundation Canada; National Institute for Health and Care Research; Sunnybrook Research Institute; Medtronic; Juvenile Diabetes Research Foundation International","keywords":"Medicine; Pregnancy; Type 1 diabetes; Continuous glucose monitoring; Cohort; Type 2 diabetes; Blood Glucose Self-Monitoring; Neonatal intensive care unit; Diabetes mellitus; Gestation; Emergency medicine; Obstetrics; Intensive care medicine; Pediatrics; Internal medicine; Endocrinology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002040118,0.000902647,0.0007770075,0.0008721394,0.0002864122,0.001616902,0.001319235,0.001588844,0.005325616],"category_scores_gemma":[0.008916818,0.0008956378,0.001720938,0.001244162,0.0004603132,0.001121718,0.0009162111,0.001394849,0.000229531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006687077,"about_ca_system_score_gemma":0.003631006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0747563,"about_ca_topic_score_gemma":0.0459361,"domain_scores_codex":[0.9988984,0.0007355919,0.00003562938,0.0000784225,0.00007416953,0.0001777388],"domain_scores_gemma":[0.9954953,0.003712189,0.000405183,0.00006186176,0.0002209333,0.0001045533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001754942,0.00003676138,0.002967717,0.00007499907,0.0000743647,0.0000780105,0.00002521854,0.9933615,0.00006023547,0.001076871,0.0001868263,0.001882031],"study_design_scores_gemma":[0.0001828214,0.0003240227,0.004970383,0.0001585813,0.000271293,0.00008793645,0.0001699863,0.9890377,0.0002010023,0.002915178,0.001648676,0.00003249497],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9296501,0.002944982,0.03447211,0.003072237,0.0001482516,0.0005344314,0.004207259,0.00009303505,0.02487752],"genre_scores_gemma":[0.9902531,0.0008868857,0.004406871,0.0001713665,0.00001632431,0.0002915009,0.0006071139,0.00001482909,0.00335204],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0747563,"threshold_uncertainty_score":0.1486423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01939097858560849,"score_gpt":0.2527388840625318,"score_spread":0.2333479054769233,"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."}}