Effect of Prenatal Drug Administration on Maternal and Neonatal Platelet Aggregation and PF <sub>4</sub> Release
Bibliographic record
Abstract
Release of platelet antiheparin activity (platelet factor 4, PF4) induced by collagen and l-epinephrine, is normal in newborn infants without antenatal drug exposure. In contrast, PF4 release in platelets of infants of mothers with membrane-stabilizing drug ingestion is decreased to a greater extent than in their respective mothers. Platelet aggregation gives a qualitative indication of response. Platelets of mothers with antenatal drug exposure and those of their infants showed only a one-wave response to adenosine diphosphate, while platelets of these same mothers still showed a two-wave aggregation response to l-epinephrine. In contrast, platelets of all neonates lacked epinephrine-induced aggregation response, even when washed and resuspended in adult plasma. Our studies show that prenatal drugs have an effect on the platelet release mechanism in both mothers and their exposed infants; but the effect on the epinephrine-induced platelet response is less in mothers. Newborn infants have different aggregation and platelet release response to epinephrine which suggests that platelet aggregation and the release reaction can occur independently of each other.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Bench or experimental | low |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Other design | low |
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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, unvalidatedLabeled directly by 2 models reading the full record.
The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.
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".