Characterizing the behavior and survival of age 1 hatchery stocked smolts in the Narraguagus River, Maine U.S.A.
Bibliographic record
Abstract
This is the OBIS extraction of the Ocean Tracking Network and National Oceanic and Atmospheric Administration (NOAA) Characterizing the behavior and survival of age 1 hatchery stocked smolts in the Narraguagus River, Maine U.S.A., 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=NARR). Abstract:NOAA's National Marine Fisheries Service (NOAA) has been evaluating emigrating Atlantic salmon (ATS) smolt dynamics and survival via acoustic telemetry within the Narraguagus River since 1997. Optimizing the number of smolts that enter the ocean from coastal rivers and into the Gulf of Maine is a management priority. Until recently, the Narraguagus River has been solely supported by natural reproduction and fry stocking within the watershed. In 2008, a five year smolt stocking effort was implemented with intentions of boosting adult returns. Approximately 40,000 smolts were stocked annually over this five year period with limited success. 154 2SW adult returns were documented, which is 5.6 2SW adults per 10,000 smolts stocked. These results are much lower than the natural component (63.2/10,000) of the Narraguagus and returns from age 1 hatchery smolt stocking on other nearby systems during the same timeframe. Through this effort we will investigate and describe the behavior and success of conservation hatchery smolt with differing release times migrating through the river, estuary, and nearshore environment to determine if there are differences between groups. In addition to migration performance, we will identify bottlenecks (predation, environment, habitat, etc) which will inform managers of areas of focus during restoration efforts within the watershed to optimize the number of post smolts entering the Gulf of Maine.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".