Using electronic tags to estimate tagging mortality, and identify behavioural patterns of Atlantic sturgeon relative to interactions with tidal power infrastructure
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
No abstracts are to be cited without prior reference to the author. An proper estimate of tagging mortality is central to the accuracy of the results of many scientific projects involving electronic tagging of fishes. As part of the Ocean Tracking Network we used coded acoustic tags to derive a post release minimum survival estimate for Atlantic sturgeon (Acipenser oxyrinchus) captured by otter trawl in the Minas Basin, Bay of Fundy, Canada (minimum survival estimate = 97%). The Minas Channel leading to the Minas Basin is an area of interest for the production of in-stream tidal power, and supported a tidal power turbine in 2009. Future deployments of turbines are scheduled for 2016. We acoustically tagged 115 Atlantic sturgeon in the Minas Basin who subsequently passed through the Minas Channel. We gathered baseline information on tagging survival, depth preferences and seasonality critical for the mitigation of negative impacts of turbine operation on sturgeon and for the development of experimental design for future studies on fish turbine interactions.
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 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| 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