Pratique clinique Clinical Pract ice Prenatal
Bibliographic record
Abstract
multivitamins are recommended before and during pregnancy to prevent iron-deficiency anemia and neural tube defects (NTDs).1-3 A range of prenatal supplements are available; most meet the required dietary allow-ance for pregnant women. Some patients have very low tolerance of iron because they have morning sickness, which is experienced by 50 % to 80 % of pregnant women.4 A new twice-a-day prenatal multivitamin supplement (PregVit®) might be an appropriate alternative for women unable to tolerate the side eff ects of ingest-ing iron at high doses. Th e morning tablet contains 35 mg of iron, almost 50 % less than is in most pre-natal multivitamins. Calcium is provided in the night tablet so that it does not interfere with the absorption of iron, which is why the lower dose of iron is adequate.5,6 A recent study at the Motherisk program showed that patients absorbed similar amounts of iron from PregVit ® and another widely used prenatal supplement. Even today, following folate fortifi cation of fl our, about half of Canadian women have folate lev-els below the protective 900 nM and thus are at increased risk of having babies with NTDs.7 Folic acid supplementation is especially important before
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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 | 0.007 | 0.040 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.007 | 0.010 |
| Insufficient payload (model declined to judge) | 0.058 | 0.030 |
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".