A Preliminary Assessment of Common Carp Populations in Five Kansas Impoundments
Bibliographic record
Abstract
Common Carp Cyprinus carpio was introduced into the United States in the late 1800s and are now one of the most prolific species found across the world. At high densities, Common Carp can cause negative impacts on aquatic ecosystems directly and indirectly. We surveyed the shoreline of five small impoundments 27 to 56 ha (mean = 39 ha) using electrofishing (60 Hz, 25% duty cycle) to gather baseline information for Common Carp populations in Kansas. We spent 19.50 hours of total effort and collected 266 Common Carp in total across a four-month sampling period. Relative abundance estimates in our impoundments varied from 4.9 fish/hour in Chase to 19.7 fish/hour in Ottawa. Size structure (210-889 mm) and relative weights (> 90) are indicative of a low-density population. Our protocols used in this study will allow for further evaluation and increase opportunities for comparisons that will better explain variation in Common Carp populations both in Kansas and across the central United States.
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 | 0.001 | 0.001 |
| 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".