Factors affecting the spatial and temporal distribution of biofouling communities on Atlantic salmon ( <i>Salmo salar</i> ) farms: insights from the Broughton Archipelago, British Columbia, Canada
Bibliographic record
Abstract
Biofouling communities were examined at five depths at two salmon farms (Doctor Islets (DI), Wicklow Point (WP)) in British Columbia, Canada from April/May to October 2020. In addition, various water quality parameters were measured and the jellyfish numbers were quantified. Biofouling communities were mainly composed of Mollusca (primarily Mytilus spp.), arthropods (mostly harpacticoids), and hydroids (predominantly Obelia sp.), while jellyfish samples were made up mostly of medusa-form Obelia sp. At DI, all variables except ammonia were associated with biofouling counts, all variables except depth were associated with hydroid biomass, while only temperature, dissolved oxygen, ammonia, and nitrate were associated with jellyfish. At WP, all variables except phosphate and silica were associated with biofouling counts, only depth was associated with hydroid biomass, and only ammonia was associated with jellyfish. Insights into what environmental variables are correlated with biofouling organisms and jellyfish may assist with the development of effective mitigation strategies.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".