Continuous Glucose Monitoring in Pregnant Women With Type 1 Diabetes (CONCEPTT): A Multicenter International Randomised Controlled Trial
Bibliographic record
Abstract
(Abstracted from Lancet 2017;390:2347–2359) It is established that optimal maternal glycemic control throughout pregnancy is associated with a decrease in adverse fetal outcomes. A proper glycemic index can be difficult to control in women with type 1 diabetes during pregnancy because of the complexity of insulin dose adjustment, gestational changes in insulin sensitivity, and day-to-day changes to insulin absorption in late pregnancy. Nationwide UK data show the rates of severe hypoglycemia, particularly in early pregnancy, are 5 times higher among pregnant women than nonpregnant and that only 40% of women with type 1 diabetes achieve target glycated hemoglobin (HbA1c) after 24 weeks of gestation. Continuous glucose monitoring (CGM) provides real-time quantitative information on the direction and rate of change of glucose levels.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".