Regional Review on Status and Trends in Aquaculture Development in North America: Canada and the United States of America — 2010
Bibliographic record
Abstract
The aquaculture industry in North America produced 644 213 tonnes of product in 2008 with an estimated value of US$1.6 billion. This represents an annual percentage increase over the previous decade of 1.8 percent by volume and 4.5 percent in value. The finfish industry is at the forefront of the aquaculture sector, led by production of Atlantic salmon in Canada and channel catfish in the United States of America.There is potential for significant increases in North American production and both the Canadian and United States governments have projections for expansion of their aquaculture industries. Canada estimates that by 2020 production in Canada could exceed 308 000 tonnes with a farmgate value of US$1.6 billion. The United States Department of Commerce estimates that domestic aquaculture production in the United States of America has the potential to increase in value from US$1 billion to more than US$3 billion by 2025. Future significant growth in the North American aquaculture industry will require policies and regulations that protect the environment while ensuring the economic viability of the sector in an increasingly competitive international arena.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.013 | 0.037 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".