Report of the Working Group on Marine Fish Culture (WGMAFC)
Bibliographic record
Abstract
The Working Group on Marine Fish Culture [WGMAFC] (Chair: Dr J. Castell, Canada) will work by correspondence in 2001 to: a) report on the current status of marine fish cultivation in Member Countries and on the factors that are likely to constrain further development of the industry; b) graph and evaluate current and historical trends for major species; c) initiate collaboration with the Working Group on Environmental Impacts of Mariculture (WGEIM) on the review of technological developments in relation to fish production and their application to various species; d) report on alternative sources of protein and lipid, including references to electronically available bibliography; e) prepare an inventory of the use of the ICES standard reference diets and the use of microdiets among laboratories and their use with different fish species; f) support research programmes on fish health and report on existing and emerging diseases of cultured marine fish, including treatments used; g) compile a comprehensive list of procedures and methods for monitoring of feeding regimes; h) review fish welfare in relation to marine fish culture to initiate a process to establish a set of welfare guidelines or indicators as to the state of the health and well-being of the fish; i) refer to the work of the Working Group on the Application of Genetics in Fishes and Mariculture (WGAGFM) in developing standard culture conditions under which strains, stocks, or species might be tested to evaluate their performance.
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 | 0.011 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.023 | 0.013 |
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".