Final report on APMP.QM-S10: elements in food supplement
Bibliographic record
Abstract
APMP.QM-S10 was coordinated by Government Laboratory, Hong Kong SAR (GLHK) under the auspices of the Inorganic Analysis Working Group (IAWG) of the Comité Consultatif pour la Quantité de Matière (CCQM). Fourteen national metrology institutes (NMIs) or designated institutes (DIs) registered for the examination of zinc, manganese, calcium and magnesium. All institutes submitted the results for zinc and manganese, and twelve institutes submitted the results for calcium and magnesium. The supplementary comparison was designed to enable participating institutes to demonstrate their measurement capabilities in measuring the mass fractions of the analytes at mg/kg levels in a test sample of food supplement by various analytical techniques. For examination of zinc, manganese, calcium and magnesium, most of the participants used microwave-assisted acid digestion methods for sample dissolution. A variety of instrumental techniques including inductively coupled plasmas mass spectrometry (ICP-MS), isotope dilution inductively coupled plasmas mass spectrometry (ID-ICP-MS), inductively coupled plasmas optical emission spectrometry (ICP-OES), flame atomic absorption spectrometry (FAAS), and instrumental neutron action analysis (INAA) were employed by the participants for determination. For this supplementary comparison, inorganic core capabilities have been demonstrated by the concerned participants with respect to methods including ICP-MS (without isotope dilution), ID-ICP-MS, ICP-OES, FAAS and INAA on the determination of elements (zinc, manganese, calcium and magnesium) in a food matrix of food supplement. Generally, the participants' results of APMP.QM-S10 were found to be consistent for all measurands according to their equivalence statements. Except with some extreme values, most of the participants obtained the values of d i / U ( d i ) within ± 1 for the measurands. Main text To reach the main text of this paper, click on Final Report . Note that this text is that which appears in Appendix B of the BIPM key comparison database kcdb.bipm.org/ . The final report has been peer-reviewed and approved for publication by the CCQM, according to the provisions of the CIPM Mutual Recognition Arrangement (CIPM MRA).
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How this classification was reachedexpand
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 | 0.001 | 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) | 0.013 | 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 teacher head, 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".