{"id":"W4282557296","doi":"10.2337/dc22-0078","title":"Continuous Glucose Monitoring Metrics and Birth Weight: Informing Management of Type 1 Diabetes Throughout Pregnancy","year":2022,"lang":"en","type":"article","venue":"Diabetes Care","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sinai Health System; University of Toronto","funders":"Medical Research Council; FedDev Ontario; Breakthrough T1D Canada; Skånes universitetssjukhus; National Institute for Health and Care Research; Parker Institute for Cancer Immunotherapy; Sahlgrenska Universitetssjukhuset; Oak Foundation","keywords":"Medicine; Gestation; Percentile; Pregnancy; Birth weight; Gestational age; Gestational diabetes; Diabetes mellitus; Obstetrics; Type 2 diabetes; Reference range; Internal medicine; Continuous glucose monitoring; Endocrinology; Type 1 diabetes","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":[0.0001522388,0.0001681383,0.0003224645,0.0003334075,0.0001686365,0.0000261822,0.0001545184,0.00002995161,0.00007822876],"category_scores_gemma":[0.000066482,0.0001623621,0.00007586161,0.0007392614,0.0000590306,0.0001247943,0.0005067578,0.0001852923,0.00001243384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000126839,"about_ca_system_score_gemma":0.00003488651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004833444,"about_ca_topic_score_gemma":2.445546e-7,"domain_scores_codex":[0.9982631,0.00003968002,0.0002777408,0.000267247,0.0006917049,0.0004605858],"domain_scores_gemma":[0.9991595,0.00009200179,0.0001042634,0.0002817721,0.0002233347,0.0001390839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001871861,0.00008107952,0.8556767,0.002814045,0.00031354,0.0000279838,0.0006899844,0.00003959965,0.0007554409,0.0004886574,0.0001589194,0.1389354],"study_design_scores_gemma":[0.003659065,0.00228421,0.8914607,0.001327705,0.000472054,0.000001206025,0.01868317,0.0006461513,0.03494544,0.0003924728,0.04558207,0.0005457925],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9721749,0.02337112,0.000003842268,0.00008151286,0.0002636143,0.0007217812,0.00008790923,0.00005605839,0.003239195],"genre_scores_gemma":[0.9960693,0.001444629,0.001426828,0.00006983347,0.00003972811,0.000196392,0.0001667605,0.0000299577,0.000556541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1383896,"threshold_uncertainty_score":0.6620933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.015314390981605,"score_gpt":0.2767903467217224,"score_spread":0.2614759557401174,"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."}}