Evaluating the Status and Population Biology of an Imperiled Freshwater Mussel, Purple Wartyback (Cyclonaias tuberculata), in Southern Ontario, Canada
Bibliographic record
Abstract
The Purple Wartyback (PWB; Cyclonaias tuberculata) is considered threatened in Canada due to the loss of populations in the Detroit River and Lake Erie and possible declines in remaining populations (Ausable, Sydenham, and Thames rivers). Many aspects of PWB life history and population ecology have not been investigated for Canadian populations. We used data from the Fisheries and Oceans Canada Unionid Monitoring and Biodiversity Observation network to estimate PWB population and life-history parameters in the Sydenham and Thames rivers. This mussel occurred at high density in the Sydenham River, but at low density in the Thames River; however, both populations exhibited positive population growth and strong recruitment. Population growth rate in the Sydenham River was 1.047 (credible interval [CI]: 1.037–1.058) from 1999 to 2015, and population growth rate in the Thames River was 1.157 (CI: 1.100–1.221) from 2004 to 2017. Estimated annual adult survival rate (mean 6 SE) from catch-curve analysis of empty shells, with measured ages, across both populations was 0.950 6 0.007. Estimated survival from catch-curve analysis of live individuals, with estimated ages, was 0.966 6 0.001 and 0.884 6 0.009 for the Sydenham and Thames rivers, respectively. Our results show that populations of PWB are robust in the Sydenham River and small but growing rapidly in the Thames River.
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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 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".