Assessing the spread and establishment of Prussian carp (Carassius gibelio) in northern Alberta
Bibliographic record
Abstract
The Prussian carp (Cassasius gibelio) is an exceptionally dangerous invasive freshwater fish species. Native to Asia and eastern Europe, it has come to dominate many freshwater bodies across Eurasia through anthropogenic activities, causing extensive ecological damage by outcompeting native taxa and degrading environmental conditions. Within the last two decades, the Prussian carp has been introduced into Alberta, and has since spread into the rivers and lakes of the province. To date, most research relating to Prussian carp in North America has focused exclusively on southern Alberta. My research project aimed to expand research into northern Alberta, specifically the Edmonton region, with the objective to determine if Prussian Carp have spread into northern Alberta. Twelve lakes and ponds in the Edmonton area were surveyed using an underwater drone to collect footage. Four of these sites were further subjected to eDNA analysis. The results of the drone footage picked up a mixture of native and invasive fish species, with two being positive for goldfish. The eDNA analysis picked up neither goldfish or Prussian carp DNA at any of the test sites, likely due to low eDNA concentrations. Overall, these results highlight the need for ecological management to mitigate the spread of invasive fish species in Alberta.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 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".