Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Preface D. James Baker Introduction Catherine Gautier and Jean-Louis Fellous 1. The global consensus and the intergovernmental panel on climate change Richard Somerville and Jean Jouzel 2. Greenhouse effect, radiation budget and clouds Catherine Gautier and Herve Le Treut 3. Atmospheric aerosols and climate change Yoram J. Kaufman and Olivier Boucher 4. The global water cycle and climate Moustafa T. Chahine and Pierre Morel 5. Climate change effects on the water cycle over land Eric F. Wood and Katia Laval 6. Ocean and climate Carl Wunsch and Jean-Francois Minster 7. Ice and climate Raymond C. Smith and Frederique Remy 8. The changing global carbon cycle - from the holocene to the anthropocene Berrien Moore III and Philippe Ciais 9. Challenges of climate change: an arctic perspective and its implications Robert W. Corell 10. On some impacts of climate change over Europe and the Atlantic Jean-Claude Andre 11. Atmospheric chemistry and climate interactions Guy Brasseur and Marie-Lise Chanin 12. Observing system for climate Helen Wood and Jean-Louis Fellous 13. Climate and society - what is the human dimension? Roberta Balstad and Jean-Charles Hourcade Conclusions S. Ichtiaque Rasool and Jean-Claude Duplessy References Glossary Index.
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.
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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.004 |
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 it