Disaggregation rates of extruded salmon feed pellets: influence of physical and biological variables
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The culture of salmonids in the marine environment has led to concern regarding eutrophication of the water column and sediment from uneaten feed. This study used measurement of mass loss and change in carbon and nitrogen content of feed to quantify material lost from waste feed as a function of physical and biological variables. A laboratory flume was used to measure changes in cooked–extruded salmon feed pellets as a function of pellet size (6.5 and 12.0 mm in diameter), residence time in seawater (0, 24, 48, 72 and 120 h), and flow speed (0, 9.3 and 22.2 cm s−1). The influence of sediment on pellet degradation was also determined. Loss of pellet mass increased with water flow velocity. Smaller pellets eroded faster than larger pellets, losing 32% (6.5 mm) and 21% (12.0 mm) of their mass after 120 h in seawater. The presence of sediment during preconditioning increased the percentage mass loss of the small pellets only. The presence of sediment also resulted in a greater percentage loss of carbon, but not nitrogen, relative to non-sediment samples. These results allow quantitative assessment of the dynamics of feed pellets in the marine environment with respect to prediction of impact from salmon culture.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it