Effect of caffeine intake during pregnancy on the risk of intrauterine growth retardation
Bibliographic record
Abstract
We estimated the effect of caffeine intake from tea, coffee, and colas on the risk of mild and severe intrauterine growth retardation (IUGR) through a case-control study in 500 live singleton infants born at Sainte-Justine Hospital, in Montreal, between May 1998 and July 2000. Cases of IUGR as well as one sex, race and gestational age-matched control per case were identified at birth. Data were abstracted from medical charts and post-delivery questionnaires, and were analysed using conditional logistic regression. Average caffeine intake in pregnancy was not a significant predictor of mild or severe IUGR (for mild IUGR, OR for >300 mg/day of caffeine vs. none:1.21, 95%CI [0.33, 4.40]; trend: p = 0.28). Moderate first-trimester caffeine use significantly increased the risk of mild (OR 2.41, 95%CI [1.01, 5.75]), but not severe, IUGR. Reduction of caffeine use at the onset of pregnancy was protective for mild and severe IUGR (OR 0.34, 95%CI [0.13, 0.92], and 0.55, 95%CI [0.32, 0.94], respectively).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".