The impact of the IECEx Scheme on the global availability of explosion protected apparatus-update 2000 (parts IV-VII)
Bibliographic record
Abstract
The IECEx Scheme provides a structured system to achieve global acceptance for explosion protected equipment for hazardous locations. Scheme members declare that they will abolish national differences for product requirements in their countries during the coming years. The international scheme will greatly impact the free trade of explosion protected apparatus needed for the petrochemical and chemical industry if the scheme members recognize and accept harmonized worldwide IEC standards. The goal is to develop and maintain uniform product evaluation to protect users against products which are not in line with the required level of safety. The critical aspects are identified by a comparison of advantages and disadvantages of such a scheme. The experience with the European system of Notified Bodies and harmonized CENELEC standards is a goad basis for consideration during the phase of establishing the IECEx Scheme. The result of fast introduction of IEC standards can be visualized by specifying possible conflicts in the national regulations. The updated version for 2000 still includes the latest perspectives from QAS and PTB (regarding an overview of the scheme), from UL (regarding a US perspective) and from LCIE (regarding a European perspective), in addition to now also being expanded to address Russia and Ukraine, instead of Canada. Furthermore the author list is opened up to a greater number of experts concerning these issues. The intention is to get a better understanding about these markets which are now accessible after a long period of isolation.
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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 | 0.010 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".