Forest fire danger extremes in Europe under climate change: variability and uncertainty
Bibliographic record
Abstract
Creative Commons Attribution 4.0 International (CC BY 4.0) licence: background. As indicated in the publication, the "Reuse is authorised provided the source is acknowledged. The reuse policy of European Commission documents is regulated by Decision 2011/833/EU" [1] The Copyright notice of the European Commission [2] further clarifies [3] how "Unless otherwise indicated (e.g. in individual copyright notices), content owned by the EU [...] is licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) licence. This means that reuse is allowed, provided appropriate credit is given and changes are indicated". References [1] European Commission, 2011. Commission Decision of 12 December 2011 on the reuse of Commission documents (2011/833/EU). Official Journal of the European Union 54(L 330), 39-42. http://data.europa.eu/eli/dec/2011/833/oj [2] https://web.archive.org/web/20190905/https://ec.europa.eu/info/legal-notice_en [3] European Commission, 2019. Commission Decision of 22 February 2019 adopting Creative Commons as an open licence under the European Commission’s reuse policy. European Commission, C(2019) 1655 final. https://ec.europa.eu/transparency/regdoc/rep/3/2019/EN/C-2019-1655-F1-EN-MAIN-PART-1.PDF (archived version: https://tinyurl.com/C2019-1655-final)
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".