Bibliographic record
Abstract
Pharmacotherapy for depression is often necessary during pregnancy. The information available about use of the newer antidepressants in pregnant women is limited by trial design and lack of long-term follow-up of exposed infants. Selective serotonin reuptake inhibitors (SSRIs) are not generally thought to be major teratogens. Some recent studies, however, have suggested that paroxetine may be associated with a small increase in risk of congenital abnormalities, particularly cardiac defects. Data on the effect of SSRIs on the incidence of preterm birth, spontaneous abortion, and fetal death are conflicting. Third-trimester exposure to newer antidepressants, including SSRIs and serotonin-norepinephrine reuptake inhibitors (e.g., venlafaxine), has been associated with a poor neonatal adaptation syndrome. In addition, SSRI use may be associated with an increased risk of persistent pulmonary hypertension of the newborn. Preliminary evidence suggests that SSRI exposure in utero does not have significant long-term effects on cognition or behavior. Based on limited information, mirtazapine, bupropion, and venlafaxine do not appear to be major teratogens. Little or no information is available on duloxetine.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".