Maternal weight before and during pregnancy in women with gestational diabetes: one step forward, one step back
Bibliographic record
Abstract
Maternal weight before and during pregnancy has implications for both mother and child.Indeed, elevated preconception body mass index (BMI) and excessive gestational weight gain (GWG) are each associated with adverse infant outcomes.In addition, excess GWG can contribute to maternal complications during pregnancy, such as gestational diabetes mellitus (GDM), and is often retained for months to years after delivery.With rising global rates of obesity in recent decades coupled with growing clinical recognition thereof, the impact of these societal changes on pre-pregnancy BMI and GWG warrants consideration, particularly given the implications for transgenerational health affecting both mother and child. Progress in controlling gestational weight gainGWG refers to the weight that a mother gains between the time of conception and the onset of labor.Variability in the measurement of total GWG has historically made it challenging to compare research studies and develop appropriate weight gain guidelines.Women often present in the first trimester of pregnancy, making it difficult to accu-
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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 | 0.002 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.014 | 0.011 |
| Insufficient payload (model declined to judge) | 0.003 | 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".