<i>Flavobacterium columnare</i> : an important contributing factor to fish die-offs in southern lakes of Saskatchewan, Canada
Bibliographic record
Abstract
During June and July 2012, Buffalo Pound Lake and Blackstrap Lake in Saskatchewan, Canada were visited biweekly and surveyed for sick and dying fish. During this investigation, 2 fish kills were identified. Buffalo Pound experienced a large die-off of yellow perch (Perca flavascens) in June, while Blackstrap experienced a die-off of lake whitefish (Coregonus clupeaformis) in July. In excess of 50 fish were examined for gross lesions at each lake, and dead and moribund fish consistently had 1 or more of the following lesions: multifocal petechial cutaneous hemorrhage, skin ulceration, or branchial necrosis. Of these, 17 fish were collected for necropsy, and major tissues were submitted for histology. Aerobic bacterial culture was performed on 16 out of 17 fish. In 7 out of 8 (88%) yellow perch, the body wall had multiple areas of pale discoloration that corresponded to erosion and ulceration of the skin. Seven out of 8 (88%) whitefish had severe necrotizing branchiitis, and 8 out of 8 (100%) had severe epicardial parasitism, consistent with Ichthyocotylurus erraticus. Wet mounts of skin and gill lesions demonstrated filamentous bacteria with gliding motility, which often formed haystack-like arrangements. Flavobacterium columnare and Aeromonas hydrophila were cultured from skin and gill lesions of all fish. Based on the characteristic appearance and distribution of lesions, mortality was attributed to columnaris disease with secondary infection with A. hydrophila. The current study demonstrates that columnaris disease is an important contributor to fish kills in southern Saskatchewan lakes. However, further research is needed to determine what role environmental factors play in outbreaks of columnaris disease in prairie lakes.
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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 | 0.001 |
| 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".