Gastro-Duodenal Perforations and Coelomitis in a Group of Juvenile Spiny Softshell Turtles (Apalone spinifera)
Bibliographic record
Abstract
Abstract A recovery plan was developed for the threatened spiny softshell turtle (Apalone spinifera) population in the province of Quebec, which included the implementation of a head-start program with the objective of increasing juvenile survival over the first winter. High mortality rates were observed during the first two years of the program (2014: 22.5% [7/31], 2015: 55.0% [22/40]). Mortalities for both years were associated with an unusually high occurrence of coelomitis consecutive to a confirmed (N = 11) or suspected (N = 4) gastro-duodenal perforation. Microscopically, the coelomitis consisted of serosal mesothesial cell hypertrophy, fibrinous to granulomatous inflammation, visceral adhesions, as well as the presence of bacterial colonies and alimentary particles. Marked dilation of the gastrointestinal tract associated with abundant food material, suggestive of a digestive impaction/ileus, was frequently observed with the coelomitis cases. During the second year of the program, the increase in the quantity of food offered and the substitution of freeze-dried Gammarus shrimp with larger and more abrasive sun-dried red shrimps (Solenocera melantho) were identified as potential risk factors for gastrointestinal perforations and could account for the increased mortality rate observed. Prospective dietary studies are warranted to establish optimal diet parameters in juvenile individuals from this species.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".