Age and Growth of Atlantic Sturgeon from the Saint John River, New Brunswick, Canada
Bibliographic record
Abstract
Abstract As a long-lived and late-maturing species, Atlantic Sturgeon Acipenser oxyrinchus are susceptible to overharvest, which makes knowledge concerning their age and growth essential to sustainable management. The Saint John River, New Brunswick, and the St. Lawrence River, Quebec, support the two remaining commercial fisheries for Atlantic Sturgeon in North America; however, the relationship between age and growth has not previously been modeled for the Saint John River population. Ages of Saint John River Atlantic Sturgeon were estimated by using pectoral fin spine sections collected from 262 individuals of known TL. Most (87%) of the pectoral spine sections were aged by two readers to evaluate possible reader bias. An age–bias plot and coefficient of variation (CV) indicated relatively low between-reader precision (CV = 5.6%) compared with that reported in other studies. Von Bertalanffy growth model (VBGM) parameters were estimated for males (n = 67), females (n = 85), and the combined sexes. Unsexed juveniles and subadults smaller than 150 cm TL (n = 110) were used for the lower part of each curve. The growth models indicated that (1) males reached maximum length sooner than females and (2) females continued to grow more as adults to greater lengths (males: Brody growth coefficient K = 0.06, asymptotic length L∞ = 230 cm TL; females: K = 0.04, L∞ = 264 cm TL). As predicted, the VBGM parameters estimated for combined sexes of the Saint John River stock (K = 0.05, L∞ = 254 cm) were intermediate to those of Atlantic Sturgeon from the Hudson and St. Lawrence rivers, in agreement with a previously observed latitudinal trend in growth. Received June 26, 2014; accepted January 13, 2015
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".