Assessing Metabolic Rate and Post-tagging Recovery in Juvenile Fish
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
Juvenile fish play a crucial role in the health of aquatic ecosystems, serving both as the lifeline for future generations, but also as a valuable food source for a thriving ecological community. However, these juvenile animals are particularly vulnerable to both biotic and abiotic changes in the ecosystem. Understanding the juvenile life-stage of fish is challenging, because juveniles tend to be small and hard to track, making it hard to gather information about them. As new acoustic tags become smaller and smaller, we are finally being able to shed light into understudied life-stages, including juvenile fish, forage fishes, and even baitfishes. But tagging such small animals can introduce sub-lethal effects that alter their physiology and behaviour, ultimately biasing the collected data and any subsequent analyses and conclusions. Here, we tested if tagging juvenile brook trout (Salvelinus fontinalis) of two size classes (10-12 cm and 13-16 cm fork length) with a 417 kHz LOTEK PinTag induced changes in their oxygen consumption rates (ṀO2 ) immediately after tagging and over a period of two days. Findings will help to guide new research on small fish and open telemetry towards previously intractable species and size classes.
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 | 0.001 | 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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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