Global Ocean Legacy Working Together to Create the World's First Generation of Great Parks in the Sea
Bibliographic record
Abstract
Overview The ocean plays an essential role in sustaining life on our planet. It covers nearly three-fourths of the globe and is home to nearly a quarter of the world's known species—and many more yet to be discovered.1 The ocean provides sustenance for billions of people and myriad wildlife. But human activities increasingly threaten its health. For example:* About 1 in 5 fish caught in the wild is taken illegally or in unreported fisheries.* 90 percent of the world's fish stocks are fully exploited or overexploited.* Populations of some species of top predator fish have declined by more than 90 percent from historic levels.* Acidification, caused by absorption of carbon dioxide, is changing the chemistry of the ocean, placing sea life at risk. Its waters absorb about a quarter of CO2 emissions created from human activity. The rise in these emissions has increased ocean acidity by about a third since the industrial revolution.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.083 | 0.026 |
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".