A baseline study of the fishes in the north-flowing section of the Rideau River-Canal system, Ontario, 1998–2000
Bibliographic record
Abstract
Since 1883, 64 fish species belonging to 22 families have been reported from the north-flowing section of the Rideau River-Canal system, Ontario, Canada. Six of these species are non-native, two of which have become established with the remaining four no longer present. A total of 34 species belonging to 11 families were collected in the mainstem north-flowing section of the Rideau River and five of its tributaries during our 1998–2000 study. The fish community along the Rideau River mainstem at sites with adjacent urban land use was distinguishable from sites that were adjacent to agricultural–forested areas. The urban sites cluster was characterized by an abundance of Rock Bass (Ambloplites rupestris) and a low abundance of Bluegill (Lepomis macrochirus), Pumpkinseed (Lepomis gibbosus), Yellow Perch (Perca flavescens), Brown Bullhead (Ameiurus nebulosus), and White Sucker (Catostomus commersonii). The two mixed agricultural–forested site clusters combined were characterized by an abundance of Black Crappie (Pomoxis nigromaculatus), Largemouth Bass (Micropterus nigricans), Bluegill, Pumpkinseed, Yellow Perch, and Brown Bullhead. Our study is a baseline of the fish community in the Rideau River watershed at the end of the 20th century, with which to compare as the impacts of climate and land use changes continue.
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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 | 0.002 | 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".