Walleye Out of the Frying Pan and into the Fire: How Will Climate Change Influence Ontario Walleye (Sander Vitreus) and Small Mouth Bass (Micropterus Dolomien) Populations? Do Small Mouth Bass Invasions Negatively Influence Walleye Abundance?
Bibliographic record
Abstract
Climate change will impact freshwater fish communities in Ontario. Warmwater species are expanding their ranges northward while cool and coldwater species are expected to shift or decline under the current rates of warming. Our first objective was to examine how a warmwater predator, smallmouth bass (Micropterus dolomieu) and a coolwater predator, walleye (Sander vitreus), will respond to climate change. Our second objective was to determine if smallmouth bass expansions negatively influence Ontario walleye abundances. Data was provided by the Ontario Ministry of Natural Resources, Intergovernmental Panel on Climate Change, and Climatic Research Unit. We projected that smallmouth bass will undergo range expansions throughout Ontario while walleye will become extirpated in their southern ranges and shift into northern waters. We also observed that there were fewer walleye at the landscape scale when they share lakes with smallmouth bass. These findings underscore the importance of proactive fisheries management and curbing climate change.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".