ICLAS Working Group on Harmonization: International guidance concerning the production care and use of genetically-altered animals
Bibliographic record
Abstract
Replacement, Reduction and Refinement, the ‘Three Rs’ of Russell & Burch, are accepted worldwide as fundamental to the ethics of animal experimentation. The production, care and use of genetically-altered animals can pose particular challenges to the implementation of the Three Rs,1 necessitating additional considerations by those responsible for overseeing the ethical use and appropriate care of animals involved in science. The International Council for Laboratory Animal Science brings representatives of the international laboratory animal science community together to recommend acceptance of guidance documents.The harmonization of guidance concerning genetically-altered animals was seen as a priority because of the increasing globalization of research involving these animals.
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 | 0.163 | 0.076 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.004 | 0.005 |
| Bibliometrics | 0.011 | 0.008 |
| Science and technology studies | 0.005 | 0.010 |
| Scholarly communication | 0.011 | 0.005 |
| Open science | 0.018 | 0.010 |
| Research integrity | 0.024 | 0.015 |
| Insufficient payload (model declined to judge) | 0.011 | 0.007 |
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".