Bibliographic record
Abstract
Healthy newborns maintain normal circulating platelet counts, with a platelet ultrastructure that does not differ from adults. In vitro assessments of intrinsic platelet function, however, have demonstrated transient hyporesponsiveness that is most marked in platelets from preterm infants. Decreased responses were originally considered to be the result of platelet activation and degranulation during labor and delivery, but more recent studies of platelet activation markers have not supported this theory. Decreased activation responses are due to relative deficiencies of phospholipid metabolism, calcium mobilization, granule secretion, and aggregation. These result in turn from differences in intrinsic signal transduction in the neonatal platelet compared with the adult. In contrast, there is enhanced platelet adhesion due to the presence in neonatal plasma of larger, more functionally potent von Willebrand factor multimers. These ultralarge multimers may result from decreased activity of von Willebrand factor-cleaving protease in neonatal plasma and are associated with shorter bleeding times and Platelet Function Analyser-100 closure times in neonates. In the immediate newborn period, this enhanced platelet adhesion may compensate for the decreased intrinsic platelet activation in healthy neonates, but may leave sick neonates at increased risk of bleeding.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.004 |
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".