Bibliographic record
Abstract
QUESTION: Now that flour and pasta have been fortified with folic acid in Canada, do I still need to recommend folic acid supplements to my patients who are of child-bearing age? If I should recommend supplements, when should I recommend them, and what is an appropriate dose? ANSWER: Non-pregnant women should consume 400 microg of folic acid daily, and pregnant women should consume 600 microg of folic acid daily. Mean intakes of folate in Canada before fortification were around 200 microg/d or less. Fortification increased intake of folic acid by up to 100 microg/d. You should discuss the importance of folic acid with your patients who are planning pregnancy; it is recommended that a folic acid supplement or prenatal multivitamin containing at least 400 microg of folic acid be consumed daily. The upper limit for folic acid is 1 mg/d. Women in intermediate- to high-risk categories for neural tube defects, such as a previous neural tube defect-affected pregnancy, should take 4 to 5 mg of folic acid daily.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.002 |
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".