Maritimes Conservation Network: St. Anns Bank Marine Protected Area (MPA) Acoustic Tracking Study
Bibliographic record
Abstract
This is the OBIS extraction of the Ocean Tracking Network and Department of Fisheries and Oceans Canada (DFO) Maritimes Conservation Network: St. Anns Bank Marine Protected Area (MPA) Acoustic Tracking Study, 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=SABMPA). Abstract:The St. Anns Bank Marine Protected Area was established in June 2017. In support of the long-term management of this MPA, an ecosystem monitoring program is currently being designed to evaluate performance relative to conservation objectives. Data describing the spatial-temporal patterns of species movement relative to MPA boundaries is essential for evaluating species composition and to gauge the protective capacity of the MPA. In 2015, a snow crab (Chionoceotes opilio) movement monitoring project was established in the St. Anns Bank area, with collaboration between industry, the OTN and DFO (previously projects V2LSCF and ZSC). Acoustic receiver arrays deployed as part of this project provide an opportunity to record the presence of tagged species who reside in, or transit through, the MPA. In particular, acoustic monitoring of tagged focal species (Atlantic cod (Gadus morhua), Atlantic striped wolfish (Anarhichas lupus)), Atlantic halibut (Hippoglossus hippoglossus), and snow crab inside the MPA and beyond the receiver array, will provide important information for performance evaluation and design. As part of the Maritimes Conservation Network, this tracking study will contribute to understanding species connectivity among sites of conservation interest in the region.
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.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.058 | 0.016 |
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".