Using acoustic telemetry to study Endangered Atlantic Whitefish (Coregonus huntsmani) ecology in native and novel habitats.
Bibliographic record
Abstract
This is the OBIS extraction of the Ocean Tracking Network and Dalhousie University (DAL) Using acoustic telemetry to study Endangered Atlantic Whitefish (Coregonus huntsmani) ecology in native and novel habitats., consisting of the release tagging metadata, i.e. the location and date when the tagged animal was released, and summarized detection events of tagged individuals. If readers are interested in the source dataset they may also inquire with the project PIs as listed here or on the OTN web site (https://members.oceantrack.org/project?ccode=AWF). Abstract:Atlantic Whitefish persist in one watershed on Earth, the Petite Rivière near Bridgewater, Nova Scotia, and the species is genetically, culturally, and ecologically unique. Despite being one of the first species protected under Canada's Species at Risk Act (SARA) when it came into force in 2003, they remain Endangered. The most prominent threats to their persistence are habitat deterioration due to anthropogenic impacts such as migration barriers and invasive species increasing competition and predation of Atlantic Whitefish. However, the species is so rare and poorly understood that fundamental questions about the ecology of Atlantic Whitefish are still limiting the effective implementation of the SARA recovery program. A subset of 80 captive-bred whitefish reared in the Dalhousie University Aquatron facility was tagged with acoustic transmitters (Thelma Biotel 2MP9 and Innovasea V9-TP) and released into Millipsigate Lake, the Petite Riviere, or the estuary of the river (i.e. below the migration barriers) in spring 2024. Data analysis will focus on changes between range size and depth use of whitefish in the lake and potential migratory movements of fish released in the estuary. Results will help to identify critical habitats, determine whether the species maintains anadromous instincts, and identify migration barriers. Results will also be used to investigate post-release success and make comparisons between several release strategy elements (i.e. location, season, native/novel system). This study will provide the information needed to identify critical habitats and support the effective implementation of a recovery plan to resist the wild extinction of this Nova Scotia endemic species.
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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 | 0.001 | 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 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".