Secondary productivity of fish and macroinvertebrates in mussel aquaculture sites
Bibliographic record
Abstract
No abstracts are to be cited without prior reference to the author.Artificial reefs provide shelter for many species and aquaculture structures may function in a similar way in that they provide a complex three-dimensional habitat for marine organisms and/or modify the surrounding environment. Furthermore, aquaculture structures may increase the productivity of mobile species similarly to natural complex habitats, such as seagrass beds. This project tested the general hypothesis that suspended bivalve culture increases the abundance and productivity of fish and macroinvertebrates. Fish and macroinvertebrates were sampled in different areas within farms sites and in adjacent natural vegetated and unvegetated habitats in the Magdalen Islands, eastern Canada. The results demonstrated that fish and macroinvertebrate assemblages are not similar between mussel sites and natural structurally complex seagrass beds. Winter flounder and rock crab were abundant in mussel farms. As future development of mussel aquaculture increases in many regions around the world, the methods presented here will provide baseline information on the abundance of fish and macroinvertebrates associated with aquaculture sites
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.004 | 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".