Long-distance air transport of an infant weighing less than 500 g: Is it in the patient’s best interest?
Bibliographic record
Abstract
When a preterm infant is delivered in a region where resources are limited, long-distance air transport may be required. However, such transport is a significant stressor on an extremely fragile patient, and the neonate's best interest must be evaluated. The current article presents the case of the smallest infant ever reported to have been transported by air, over more than 2300 km, and reflects on clinical and ethical challenges. Is a fragile 450 g baby born in a developing country better off spending the first week of his/her life where he/she was born, or risking a difficult transport to where he/she could have optimal care? What if this baby had already suffered a significant intraventricular hemorrhage? What if we were transporting the baby to provide palliative care 'at home'? These questions are discussed to illustrate the complexity of the decision-making process, and to facilitate a debate on transport of such fragile patients.
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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 | 0.001 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.009 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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".