OTN Canada Pacific Sockeye Salmon Tagging Project 2
Bibliographic record
Abstract
This is the OBIS extraction of the Ocean Tracking Network and University of British Columbia (UBC) OTN Canada Pacific Sockeye Salmon Tagging Project 2, 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=NEP.PSS2).Abstract:The objective is to assess the speed of outmigration, and location and level of mortality in freshwater and coastal areas, for individual smolts from Chilko Lake, a population situated 750 km inland from the ocean and is the highest elevation rearing lake for sockeye salmon in Canada. In spring 2010, 200 2-yr old juveniles were captured as they initiated their smolt outmigration and surgically implanted with acoustic transmitters. Sentinel acoustic receivers situated near the release site and in the lower Fraser River, and acoustic curtains associated with POST were used to determine travel rates and locales and levels of mortality. Preliminary results indicate that smolts travelled at ~ 1-2 km/h during the initial sections of their migration through turbulent and clear water environments, and final sections, which were turbid and tidally influenced, of the freshwater migration. But they travelled ~ 5 km/h through the expansive fast flowing sections in between. Diel patterns were evident. On average fish reached the ocean in ~ 8 days with a range of 5-17 days among fish. Survival to reach the estuary is estimated at 20-30% and 15-20% to reach the first POST acoustic curtain situated in Northern Strait of Georgia about 180 km from the Fraser River mouth. We await the downloads of the other POST acoustic curtains to assess survival beyond this first acoustic receiver curtain. Of concern is that at present, POST does not have the funding available to download all of its Canadian curtains (e.g. the Queen Charlotte Strait line) and it is unclear when or if this will happen.
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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.042 | 0.024 |
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".