Certified Reference Material of Trace Elements in Seawater, NMIJ CRM 7204-a
Bibliographic record
Abstract
Abstract A certified reference material (CRM) for the determination of trace elements in seawater samples was developed by the National Metrology Institute of Japan (NMIJ) and coded as NMIJ CRM 7204-a, in which the concentrations of trace elements were elevated to facilitate the quality control in analysis for environment conservation purpose. It is a complement to CRMs aimed at quality control in natural seawater samples, e.g. NASS and CASS series by National Research Council of Canada, as well as GEOTRACES standards and reference materials. NMIJ CRM 7204-a was characterized for the analysis of 10 regulated trace elements (Cr, Mn, Fe, Ni, Cu, Zn, As, Se, Cd, and Pb) and provided in 500 mL polyethylene bottle. Homogeneity test and stability study on the elements were carried out by inductively coupled plasma tandem quadrupole mass spectrometry. A property value was calculated as the weighted mean of the results obtained by multiple methods, whose weights were obtained as the reciprocal of their standard uncertainties. Combined uncertainty of a property value was the root mean square of the standard uncertainties of homogeneity, stability, analysis reproducibility, method-to-method variance, and calibrating standard. The concentration of Cd in NMIJ CRM 7204-a is approximately 3 µg/kg, while those of other trace elements are around 10 µg/kg. The concentrations of Na, Mg, K, and Ca were provided as information values, along with the density values at 15, 20, and 25° Celsius.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.004 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.009 |
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".