Bibliographic record
Abstract
THE U.S. NATIONAL ACADEMY of Sciences and groups from 10 other nations are contending that the scientific evidence on global climate change is now clear enough for government leaders to commit to prompt action. Their June 7 statement was timed to coincide with U.K. Prime Minister Tony Blair's meeting with President George W. Bush in Washington, D.C. The academies from the U.S., UK, Germany, Italy, France, Russia, Japan, Canada, Brazil, China, and India called on nations to identify cost-effective steps to take now to contribute to longterm reduction in greenhouse gas emissions. A delay, they said, will increase environmental damage and likely incur a greater cost. In releasing the statement, Robert Lord May of Oxford University president of Britain's Royal Society, said, "It is clear that world leaders can no longer use uncertainty about aspects of climate change as an excuse for not taking urgent action." He called U.S. policy on climate ...
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.012 | 0.011 |
| Insufficient payload (model declined to judge) | 0.024 | 0.008 |
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".