Reference points Atlantic salmon
Bibliographic record
Abstract
Upper Stock Reference (USR), Target Reference (TR) and Removal Rate (RR) reference points are defined for 98 Atlantic Salmon rivers in DFO Gulf Region. The abundance reference points are defined in units of eggs from all anadromous age and size groups. The USR and TR values are defined using the ratio of these reference points to the Limit Reference Point (LRP) from an analysis of adult to adult stock and recruitment data. The ratios quantify the spread between the LRP and corresponding USR and TR, of 3.8 and 4.7, respectively. These ratios are applied to the previously defined LRP values based on the egg to salmon smolt freshwater phase to quantify the river-specific USR and TR points. The removal rate equivalent to fishing at maximum sustained yield (MSY) when the recruitment is at MSY defines the RR reference for all the rivers, a mean value of 0.6. Candidate harvest decision rules (HDR) for the recreational Atlantic Salmon fishery after the constitutionally recognized right of first access to natural resources for the Indigenous peoples is respected, are evaluated for compliance to the Precautionary Approach (PA) policy. The candidate HDRs reviewed, using the Miramichi River as a case study, have several elements that conform to the PA policy and guidance for harvest strategies while other elements do not conform to the PA. The candidate HDRs would allow a directed catch and release recreational fishery when the abundance is in the critical zone, as low as 15% of the LRP. Although the losses from a catch and release fishery may potentially represent a small percentage of the total eggs, 1% to 7% depending upon the exploitation rate and post-release mortality assumptions, any loss due to directed fishing in the critical zone could be interpreted as not conforming to policy of lowest level possible and preventable decline. Our ability to develop and implement robust HDRs is limited due to the lack of a full evaluation of the performance of candidate HDRs, that includes forecast models and the effect of management measures on removal rates.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.025 | 0.016 |
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".