Editorial to: Special issue: Tribo-Erosion
Bibliographic record
Abstract
The EPSRC tri-corr network was set up to provide a forum for research in the highly interdisciplinary area of tribo-corrosion. Particulate erosion and sliding wear, in aqueous media, occur in many diverse environments, which include the minerals processing, offshore, healthcare, and food processing industries. This special issue includes a selection of papers from two of the Network workshops, one which was organized in London in September 2000, with the Institute of Physics, and the other in Vancouver in April 2001, with Howard Hawthorne of the National Research Council Canada. The attendance included delegates from South Africa, Australia, Canada, US, UK, Ireland as well mainland Europe. The focus of this issue will be on erosion-corrosion, although two papers are included which detail new advances in the understanding of sliding wear and abrasive wear with corrosion.
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How this classification was reachedexpand
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 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.052 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".