Bibliographic record
Abstract
This is the OBIS extraction of the Ocean Tracking Network and Department of Fisheries and Oceans Canada (DFO) Quoddy Region Pelagics Telemetry, 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=PBSM). Abstract:The project (Quoddy Region Pelagics Telemetry) will support the assessment of the effects of aquaculture on the distribution and abundance of pelagic fishes (salmon, mackerel, herring) and large predators (shark, marine mammals) in Passamaquoddy Bay and the Bay of Fundy, an area of intense finfish culture. An acoustic receivers network is placed yearly (from April to December) across various passageways, locations of project-specific interest, and at aquaculture sites in the region. Tagged pelagic species will be tracked through the network to provide information on migration routes, movement speed, survival rates and suspected predators, and determine interaction and residence at aquaculture sites. The network was utilized for monitoring the passage of: hatchery-reared wild salmon (n=340) released in the Magaguadavic River in 2018, 2019 and 2021, wild alewives (n=30) from the St. Croix River in 2021, and farmed Atlantic salmon released in the wild (n=99) in 2021. The receiver network has more recently supported adjacent projects on the use of the region by white shark and porbeagle as well as the residence of mackerel, herring, and sculpin at farm sites. The receivers additionally support other researchers with detection of striped bass, Inner Bay of Fundy Atlantic salmon, sturgeon, and many other species. Placement of the network will continue into 2025 inclusive with the longer-term goal to eventually deploy an array covering the entrance to the Bay of Fundy. ##### Le projet (Quoddy Region Pelagics Telemetry) soutiendra l'évaluation des effets de l'aquaculture sur la distribution et l'abondance des poissons pélagiques (saumon, maquereau, hareng) et des grands prédateurs (requin, mammifères marins) dans l'extérieur de la baie de Passamaquoddy et la baie de Fundy, une zone de pisciculture intense. Un réseau de récepteurs acoustiques est placé chaque année (d'avril à décembre) dans divers passages, emplacements d'intérêt spécifique au projet et sur des sites d'aquaculture de la région. Les espèces pélagiques marquées seront suivies à travers le réseau pour fournir des informations sur les voies de migration, la vitesse de déplacement, les taux de survie et les prédateurs présumés, et déterminer l'interaction et la résidence aux sites d'aquaculture. Le réseau a été utilisé pour déterminer le passage de : saumons d'écloserie (n = 340) relâchés dans la rivière Magaguadavic en 2018, 2019 et 2021, gaspareaux sauvages (n = 30) de la rivière Sainte-Croix en 2021 et saumons atlantiques d'aquaculture relâchés en milieu naturel (n=99) en 2021. Plus récemment, le réseau receveur a soutenu des projets adjacents sur l'utilisation de la région par le requin blanc et la maraîche ainsi que la résidence du maquereau, du hareng et du chabot sur les sites d'élevage. Les récepteurs aident également d'autres chercheurs à détecter le bar rayé, le saumon de l'intérieur de la baie de Fundy, l'esturgeon et de nombreuses autres espèces. Le placement du réseau se poursuivra jusqu'en 2025 inclusivement avec l'objectif à plus long terme de déployer un réseau couvrant l'embouchure de la baie de Fundy.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 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) | 0.044 | 0.020 |
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".