Juvenile striped bass overwintering behaviour
Bibliographic record
Abstract
This is the OBIS extraction of the Ocean Tracking Network and Acadia University (Acadia U) Juvenile striped bass overwintering behaviour, 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=ALLIMB).Abstract:Acoustic receivers have been deployed throughout the Minas Basin. Seventy-five striped bass were tagged with Innovasea acoustic tags at various locations around the Minas Basin in Fall 2023, and at least 20 more will be tagged in Fall 2024. This project's objectives are to identify juvenile striped bass overwintering habitat(s) in the Minas Basin and quantify juvenile striped bass over winterer use of the Minas Passage using acoustic telemetry. This research is part of a collaborative project between Mi'kmaw traditional knowledge holders, fishers, academia, community partners, and government. The results from this research will assess the risk of striped bass collisions with tidal energy infrastructure in the Minas Passage during an important life stage and fill knowledge gaps important for their management and conservation.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.013 |
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".