Impact of skin tone on the performance of a transcutaneous jaundice meter
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
AIM: To evaluate the performance of the Konica Minolta/Air-Shields JM-103 jaundice meter on the basis of infant skin tone during the early neonatal period. METHODS: Infants were prospectively categorized into light, medium and dark skin tone groups relative to two reference colours. Transcutaneous bilirubin readings were taken at predetermined intervals through the early neonatal period on a convenience sample of 938 healthy infants > or =37 weeks gestation. Serum bilirubin measurements were drawn routinely with metabolic studies and repeated in the presence of an elevated transcutaneous reading or clinically significant jaundice. RESULTS: Multivariate linear regression analysis showed a significant impact on serum and transcutaneous bilirubin agreement by skin tone. Highest precision and lowest bias were observed for medium skin toned infants. Greater disagreement between serum and transcutaneous measurements was noted at serum bilirubin concentrations >200 micromol/L. Insufficient numbers of dark skin toned infants were enrolled to evaluate fully the performance of the jaundice meter for this group. CONCLUSION: The JM-103 jaundice meter displayed good correlation with serum bilirubin concentrations in light and medium skin tone infants, although it showed a tendency to under-read in the lighter skin tone group and to over-read in the darker skin tone group. The device shows excellent performance characteristics for use as a screening device.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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) | 0.000 | 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 it