Progress Toward Modeling Tagging Data to Investigate Spatial and Temporal Changes in Habitat Utilization of Yellowtail Flounder on the Grand Bank.
Bibliographic record
Abstract
In November 2003 a bottom tending oceanographic mooring was released by NAFC on the southern Grand Bank in NAFO Division 3N. The mooring instrumentation consisted of a tidal gauge, a current meter and six electroni c data storage tags and collect ed data for one year. In June 2003, captured yellowtail flounder where released on the Grand Bank with either Pet ersen disc or elect ronic dat a storage tags attached as part of a 5-year t agging project begun in 2000. The analysis of tag returns for yellowtail flounder on the Grand Bank was restricted to the period June 2003 to November 2004. The analysis of movements based on Peterson disc tags show yellowtail movements are generally southward from their rel ease site. Seasonal analysis of movements including off-bottom vertical excursions were investigated in relation to oceanographic data. The data storage tagging data indicated that adult yellowtail flounder over the Grand Bank of Newfoundland undergo distinct off-bottom vertical migrations during the nighttime which may be associated with high tides. This paper summaries preliminary model results. Introduction Mark-recapture studies can be used to estimate abundance of fish by using recaptures of the t agged fish to estimate the exploitation rat e together with total landings in the fishery. These studies can also be used to estimate movements, growth, and selectivity. Tagging yellowtail flounder with traditional techniques, i.e. Petersen discs, can provide information on movements but may underestimate their true ext ent. Recent el ectronic data storage tagging (DSTs) studies of North Sea plai ce used measurements of depth and temperature to reconstruct the tracks of plaice movements (Metcal fe and Arnold, 1997). It was discovered that the rat es of movements are often t en times faster and farther than those deduced from conventional mark-recapture experiments. In the winter of 2000, the Northwest Atlantic Fisheries Centre (NAFC) and Fishery Products International Ltd, of St. John's entered into a co-operative program to begin a 5-year tagging program on Grand Bank yellowtail flounder using traditional Petersen discs in a mark-recapture study. Archival dat a storage tags were also used to speci fically investigate vertical and horizontal movements at a finer scale of resolution. The objectives of this extensive tagging program was to estimate exploitation rates, growth rates, mortality, movements and to provide an additional estimate of population size. In November 2003 we deployed an oceanographic mooring for one year on the Grand Bank to measure real time tidal data and oceanographic parameters such as temperature and depth (see Han et. al., 2006 for details) at a fixed
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".