On activity ISO/REMCO Committee on reference materials and 39<sup>th</sup> ISO/REMCO meeting in Russian Federation
Bibliographic record
Abstract
The article deals with the results of 39th ISO/REMCO Committee on reference materials meeting (14-16 June 2016, Ekaterinburg, Russian Federation). The meeting was moderated by Federal Agency on Technical Regulating and Metrology (Rosstandart) and Ural Research Institute for Metrology (UNIIM). 37 representatives from 19 countries took part in the meeting (Australia, Belgium, Brazil, Great Britain, Germany, Israel, Kazakhstan, Canada, China, Korea, Netherlands, Russia, USA, Ukraine, France, Czech Republic, Switzerland, Republic of South Africa, Japan) including representatives of national authorities on metrology and national institutes for metrology which cooperate with ISO/REMCO organizations (EDQM, ILAC, CITAC, OIML, UILI) and other ISO technical committees. The meeting dealt with the following issues: final version development of ISO 17034 "General requirements for the competence of reference material producers" (instead of ISO Guide 34-2009) (ISO/CASCO/JWG 43); final version development of ISO Guide 35 "Reference materials - Guidance for characterization and assessment of homogeneity and stability" (instead of ISO Guide 35:2006) (WG 16); particularities of the characterization of pure materials (AHG4); recent advancements in the assessment of homogeneity and stability for reference materials (AHG5); development of the technical report for development of nominal properties reference materials; informational support of ISO/REMCO activities. Finally the resolutions were adopted to accomplish till the next ISO/REMCO meeting
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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 | 0.011 | 0.008 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.045 | 0.064 |
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".