Interlaboratory Trial on the Determination of Selenium in Lyophilized Human Serum, Blood and Urine Using Hydride Generation Atomic Absorption Spectrometry
Bibliographic record
Abstract
An interlaboratory collaborative study was conducted on the determination of total selenium (Se) with hydride generation atomic absorption spectrometry. Six different materials were investigated, four lyophilized body fluids, an acid-digested body fluid and an acidified aqueous reference solution. The main objective was to find out if accurate values for Se can be obtained with hydride generation atomic absorption spectrometry when an appropriate sample decomposition technique is used. The proposed procedure included a decomposition with nitric, sulphuric and perchloric acids to a final temperature of 310 °C in special flasks with long necks. The results obtained by 9 laboratories using the proposed decomposition procedure and 4 laboratories using slight modifications of it show excellent agreement with the values established in previous interlaboratory trials or by experienced laboratories using a number of independent techniques.
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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 | 0.020 | 0.034 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".