RoHS2 and REACH: The Next Steps for Restricted Substances Solutions and services for Environmental Compliance
Bibliographic record
Abstract
ABSTRACT PowerPoint Presentation The electronics industry is just starting to get comfortable with the transition in materials, manufacturing, and supply chain processes in its efforts to achieve compliance with the EU RoHS Directive. However, the industry does not have the luxury to be complacent as new regulations and amendments are continuously introduced. On June 1, 2008 some substance reporting obligations under the EU REACH regulation came into effect; on October 28, 2008, the European Chemicals Agency (ECHA) published the initial Candidate list of Substance of Very High Concern (SVHC); on December 3, 2008, the EU Commission published its proposal for revising the RoHS Directive (referred to as RoHS2); and on January 14, 2009 ECHA published their recommendation of prioritized substances for elimination. Each of these announcements impact electronic equipment manufacturers and suppliers with additional requirements for substance reporting, substance restrictions, operational controls and documentation. The REACH regulation affects all product types and the EU Commission proposal for RoHS2 will bring Medical devices and Monitoring and Control Instruments within the scope of the RoHS substance restrictions. RoHS2 also introduces a number of new conformity obligations.
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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 | 0.017 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.007 | 0.008 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.012 | 0.005 |
| Insufficient payload (model declined to judge) | 0.070 | 0.014 |
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".