CCQM-K155: elements and tributyltin in seawater
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Main text Twenty National Metrology Institutes and Designated Institutes registered in the CCQM Key Comparison of CCQM-K155 "Elements and Tributyltin in Seawater" and nineteen institutes submitted their results. Participants were requested to evaluate the mass fractions, expressed in ng/g, of arsenic, cadmium, copper, lead, nickel, zinc and ng/kg level of tributyltin in seawater. Key Comparison Reference Values (KCRVs) are assigned to the various measurands by the NIST decision tree approach (NDT). Participants used analytical methods of their choice. Most participants employed dilution or co-precipitation for sample treatment and analyzed the samples using Isotope Dilution Mass Spectrometry (IDMS) or standard addition method with ICP-MS, applying various interference removing techniques for different elements. For tributyltin, most participants utilized derivatization followed by liquid-liquid extraction, with analysis conducted using isotope dilution GC-ICP-MS. Successful participation in CCQM-K155 demonstrates measurement capabilities for determining mass fraction of transition elements (excluding mercury) and metalloids/semi-metals, with mass fractions ranging from 0.1 ng/g to 50 ng/g. Additionally, it covers small organo-tin and organo-mercury compounds with mass fractions from 1 ng/kg to 50 ng/g in a high-salt content matrix (seawater). 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 https://www.bipm.org/kcdb/ . 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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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 | 0.000 | 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) | 0.002 | 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 it