A population model for the Atlantic Sturgeon (Acipenser oxyrinchus) spawning population of the Saint John River, New Brunswick
Bibliographic record
Abstract
An assessment of Atlantic Sturgeon in the Saint John River (SJR), New Brunswick is presented. A two-sex age-structured model was developed using stock synthesis (SS3) software with data from the commercial landings from the SJR and Bay of Fundy (BoF). Sensitivity analyses explored various assumptions in the population model, including historical depletion in the early SJR fishery (late 19th century), selectivity of the SJR fishery, the magnitude of catches in the Bay of Fundy, sex ratio of catches, and steepness of the Beverton-Holt stock-recruit relationship. In most scenarios, the female Spawning Stock Biomass (SSB) was estimated to be above SSBMSY (the SSB at maximum sustainable yield) in 2020. Short-term (10-year) projections indicated that with the current Total Allowable Catch (TAC; 175 males and 175 females), the biomass would decline but remain above SSBMSY. Historical depletion since 1891 (three generations) are also presented for the purposes of Committee on the Status of Endangered Wildlife in Canada (COSEWIC) assessment (COSEWIC 2011). A separate analysis for the tagging data estimated fishing mortality since 2009 to be similar in trend and magnitude to those from the SS3 models.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".