NIST micronutrients measurement quality assurance program winter, spring, and fall 1998 comparability studies : results for round robin XLII, XLIII, and XLIV fat-soluble vitamins and carotenoids in human serum and round robin 11 ascorbic acid in human serum
Bibliographic record
Abstract
The National Institute of Standards and Technology coordinates the Micronutrients Measurement Quality Assurance Program (MMQAP) for laboratories that measure fat-and water-soluble vitamins and carotenoids in human serum and plasma.This report describes the design of and results for the Winter, Spring and Fall 1998 MMQAP measurement comparability improvement studies: 1) Round Robin XLII Fat-Soluble Vitamins and Carotenoids in Human Serum, 2) Round Robin XLIII Fat-Soluble Vitamins and Carotenoids in Human Serum, 3) Round Robin XLIV Fat-Soluble Vitamins and Carotenoids in Human Serum, and 4) Round Robin 11 Ascorbic Acid in Human Serum.The materials for Round Robin XLII were shipped to participants in February 1998; participants were requested to provide their measurement results by April 3, 1998.The materials for Round Robin XLIII were shipped to participants in May 1998; participants were requested to provide their measurement results by June 22, 1998.The materials for Round Robin XLIV were shipped to participants in August 1998; participants were requested to provide their measurement results by October 9, 1998.The sample materials for Round Robin 11 were distributed in September 1998 with results due by October 20, 1998.
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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 | 0.024 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".