Review: dietary restriction, with or without aerobic exercise, promotes weight loss in postpartum womenCommentary
Bibliographic record
Abstract
A R Amorim Correspondence to: Dr A R Amorim, Copenhagen University Hospital, Copenhagen, Denmark; AAR@ipm.regionh.dk Are diet and/or exercise effective for weight reduction in postpartum women? ### Data sources: Cochrane Pregnancy and Childbirth Group’s Trial Register (including searches of Cochrane Central Register of Controlled Trials, Medline, 30 journals, and proceedings of major conferences) (September 2006), LILACS (2006), reference lists, and experts. ### Study selection and assessment: randomised controlled trials (RCTs) and quasi-randomised trials that evaluated interventions involving diet (advice, counselling, or prescription of a calorie-restricted diet) and/or exercise (counselling or structured programmes) in postpartum women (⩽12 mo after birth of a healthy singleton term infant) ⩾18 years of age who were overweight, obese, or had gained excessive weight during pregnancy. Excluded were studies involving women who were underweight before pregnancy, exercise interventions for pelvic or back pain or urinary incontinence, or interventions combined with medication. 6 RCTs (n = 245) met the selection criteria; duration of the intervention ranged from 11 days to 11 …
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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 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".