Severe vitamin D deficiency: A persistent yet preventable problem among Canadian youth
Bibliographic record
Abstract
A 6-month-old Inuit, formula-fed infant was taken to the emergency room by ambulance following a generalized tonic–clonic seizure. On examination, the infant was fussy and hypotonic. Biochemistry was consistent with severe vitamin D deficiency (undetectable 25-hydroxyvitamin D3 and urinary calcium to creatinine ratio, low serum ionized calcium, normal serum phosphate and elevated parathyroid hormone [PTH] and alkaline phosphatase). A hand radiograph showed no signs of rickets. Risk factors for vitamin D deficiency were determined to be severe maternal vitamin D deficiency and absence of infant postnatal vitamin D supplementation. Given the history of a seizure, the infant was treated with intravenous calcium along with oral vitamin D3 4000 IU/day and elemental calcium 50 mg/kg/day in four divided doses. Once the ionized calcium was >1.0 mmol/L (after 72 hours), the intravenous calcium was discontinued. The patient remained on vitamin D3 4000 IU/day and supplemental calcium until the biochemistry normalized (total duration of high-dose therapy was 5 months). The infant was then transitioned to vitamin D3 800 IU/day as maintenance therapy, calcium supplementation was discontinued and adequate calcium intake was encouraged through dairy products to meet the recommended intake for age (260 mg elemental calcium daily).
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.005 | 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) | 0.003 | 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 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".