A biological synopsis of black crappie (Pomoxis nigromaculatus)
Bibliographic record
Abstract
This synopsis reviews biological information on the Black Crappie (Pomoxis nigromaculatus) in support of a risk assessment evaluating the impacts of a potential range expansion in Canada with particular focus on its potential effects on the Saint John River watershed in New Brunswick. Due to widespread introductions throughout the United States for recreational fishing starting in the 1800s, Black Crappie’s native distribution is poorly known but is thought to be eastern-central North America. It is now almost ubiquitous in the United States and is also found in British Columbia, Manitoba, Ontario, Québec, and New Brunswick. Black Crappie prefer clear, slow-moving, heavily vegetated waters, but can persist under a wide variety of conditions. Young Black Crappie are planktivorous, adding invertebrates, and eventually fish as they grow. While they do show food preferences as a species, Black Crappie are opportunistic and will often feed on whatever is readily available. Their varied diet at different life stages means introduced young Black Crappie can cause impacts on herbivorous fish species through competition for food resources, while older fish can cause impacts through predation. In New Brunswick, Black Crappie are most likely to negatively impact Yellow Perch (diet overlap and strong predation) and White Perch (diet overlap).
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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) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.009 |
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".