Question 1 * Do feeding practices during transfusion influence the risk of developing necrotising enterocolitis in preterm infants?
Bibliographic record
Abstract
An otherwise well 4-week-old 28-week gestation male infant has a haemoglobin level of 69 g/l associated with a low reticulocyte count. He is currently on full enteral feeds. The medical plan is to give him a blood transfusion, but the nursing staff ask whether feeding should be stopped around the time of transfusion to reduce his chance of developing complications. What is the evidence that feeding practices during transfusion influence the risk of developing transfusion-associated necrotising enterocolitis (TANEC)? In a preterm infant [patient] with anaemia of prematurity, do feeding practices [intervention] during blood transfusion reduce the risk of developing TANEC [outcome]? MEDLINE (1966–2012), SUMsearch2, the Cochrane library and the Pediatric Academic Societies abstract archive (2000–2011) were searched using the terms: infant, newborn infant, preterm AND necrotising enterocolitis AND transfusion AND feeding, limited to human biology and paediatric population where possible. A total of 342 articles were identified, of which …
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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 | 0.004 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 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".