Sentinel Surveys 1995-2020 – Catch rates and biological information on Atlantic Cod (Gadus morhua) in NAFO Subdivision 3Ps
Bibliographic record
Abstract
Catch rates and biological information for Atlantic Cod from the Sentinel survey Program in the Northwest Atlantic Fisheries Organization (NAFO) Subdivision 3Ps are updated for 2019, and preliminary results presented for 2020. Temporal trends in gillnet (small 3¼ inch mesh, large 5½ inch mesh) and linetrawl unstandardized catch rates were similar for all gears, with the highest values at the beginning of each time-series, sharp declines after 1997, and oscillations around or below the series’ mean catch rate thereafter. Age-disaggregated standardized catch rates for recent year-classes were generally weaker than those in the past. Age-aggregated catch rates were higher at the beginning of each time-series for both gears, declined over the mid-to-late 1990s, then remained at their lowest levels; decreasing below the series’ mean of 6.4 fish/net (large mesh gillnet) in 1999, and 86 fish/1,000 hooks in 2009 (linetrawl). Gillnet and linetrawl catch rates for 2019 were 3.4 fish/net and 92 fish/1000 hooks (control sites), and 2.5 fish/net and 114 fish/net (experimental sites), respectively. Length frequencies of Atlantic Cod measured in Sentinel surveys indicated that the small mesh gillnet was the least selective gear (retaining small and large fish from multiple length-classes), whereas large mesh gillnet and linetrawl captured larger fish in specific size ranges and few overlapping length-classes. Fish lengths from small mesh gillnet showed several modes ranging between 37-43 cm and 53-60 cm throughout the time-series, while those of fish from large mesh gillnet and linetrawl ranged between 60-68 cm and 42-61 cm, respectively. Indices describing the physiological condition of Atlantic Cod varied at both seasonal and annual scales. Total annual removals of Atlantic Cod by Sentinel harvesters peaked at 38 t (2001), then declined to a minimum of 9.9 t (2016), prior to increasing to 14.3 t in 2019. At least 15 fish species have been recorded as Sentinel bycatch over 2005-19, with American Plaice and Redfish been the most common in gillnet and linetrawl, respectively.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.002 | 0.001 |
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".