COST-727 - Atmospheric Icing on Structures, Measurements and data collection on icing: State of the Art
Bibliographic record
Abstract
COST Action 727 "Measuring and forecasting atmospheric icing on structures" was estab- lished in April 2004 and comprises 12 signatory countries: Austria, Bulgaria, the Czech Re- public, Finland, Germany, Hungary, Norway, Slovakia, Spain, Sweden, Switzerland and the United Kingdom. Following the "Memorandum of Understanding" (MoU), three working groups were established, WG1 "Icing modelling", WG2 "Measurements and data collection on icing" and WG3 "Mapping and forecasting of atmospheric icing". The present report covers the work of WG2 during Phase 1 of the Action. The main scope of this phase was to create an inventory of earlier and current activities on icing measurements, data resources and instrument testing. The emphasis is on activities within the signatory coun- tries, however some additional information from other countries like Russia and Canada is included as well. It is important to notice that COST does not support project activities. Therefore all contribu- tions concerning individual countries are provided according to available time and engage- ments of the participants. Hence the structure and details of each contribution will vary, and the reader will not necessarily find the same information for all countries. A lot of references are given, however, and the reader will find links to institutions where further information can be retrieved. It is the intention of Phase 2 to structure and update information from existing test sites and open data sources in a more systematic way than was possible in this report. Phase 2 will also include instrument comparisons from test sites, and also elaborate recommendations for WMO observations and permanent data bases for icing in Europe. COST Action 727 acknowledges Dr Wiel M. F. Wauben, the Royal Netherlands Meteorologi- cal Institute (KNMI) for reviewing this report and MeteoSwiss for their generous offer to print the rep
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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 | 0.019 | 0.024 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.009 | 0.011 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.013 | 0.007 |
| Open science | 0.006 | 0.004 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.026 | 0.018 |
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".