77 Validation of Transcutaneous Bilirubin Measurement Using Bilicheck™ In Premature Infants
Bibliographic record
Abstract
To validate a transcutaneous bilirubin measurement using BiliCheck™ in premature infants. A total of 35 premature infants between 24–36 weeks gestation were studied. BiliCheck™ measurements were obtained with one hour of obtaining serum bilirubin levels using heel pricks. The BiliCheck™ measurements were obtained by a single investigator from the forehead skin. BiliCheck™ readings were within 10% difference than heel prick sample in infants between 30–36 weeks of gestation. BiliCheck™ readings were higher than serum samples. The difference was 18% in babies between 27–29 weeks of gestation. In infants <27 weeks of gestation, BiliCheck™ reading tended to correlate poorly with the serum bilirubin levels. BiliCheck™ is a useful, easy and non-invasive screening test for hyperbilirubinemia in premature infants >27 weeks of gestation. A serum confirmation is needed prior to initiation of therapy. BiliCheck™ reading correlated poorly in infants <27 weeks of gestation, which could be either due to premature skin properties or other factors i.e. high incubator humidity. These need to be investigated further.
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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 | 0.015 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".