Data for the measurement of serum vitamin D metabolites in childhood acute lymphoblastic leukemia survivors
Bibliographic record
Abstract
This article describes data related to a companion research paper entitled “Vitamin D nutritional status and bone turnover biomarkers in childhood acute lymphoblastic leukemia (cALL) survivors.” (Delvin et al., submitted for publication) [1]. Various methods for the measurement of serum 25OHD3, the accepted biomarker for assessing vitamin D nutritional status, have been described (Le Goff et al., 2015; Jensen et al., 2016) [2], [3]. This article describes a novel mass spectrometry-QTOF method for the quantification of circulating 25OHD3, 3-epi-25OHD3 and 24,25(OH)2D3. It provides the description of the extraction, chromatography and mass spectrometry protocols, a sample of mass spectra obtained from standards and extracted serum, and a comparison with another HPLC-MS/MS (Jensen et al., 2016) [3] method for the measurement of serum concentrations of 25OHD3.
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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 | 0.005 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.004 |
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".