On the Brink: Results from the extensive search for New York State’s last remaining wild population of Northern sunfish, Lepomis peltastes, in lower Tonawanda Creek near Amherst, New York
Bibliographic record
Abstract
From May-1 to November-2, 2013, a 3-mile section of lower Tonawanda Creek and the Erie Canal was sampled intensely in search of a small but ornate fish, the Northern Sunfish, Lepomis peltastes (formerly longear sunfish, Lepomis megalotis). Although common in the Midwest, the range of this species historically ended in Western New York and was detected in the aforementioned creek in 2005. A total of 21,353 fish were captured, representing 44 species from 15 days of sampling. Using a boat electroshocker (Smith-Root GPP 5.0 system; Vancouver, WA), 22 hours of power on-time were exerted to sample the fish communities in lower Tonawanda Creek (~95%), lower Ellicott Creek (~4%), Erie Canal (~0.6%), and Ransom Creek (~0.4%). With certainty, the fish community has changed in lower Tonawanda Creek since 2005; the most notable change being an estimated doubling of the relative numbers of green sunfish (L. cyanellus ). Although Northern sunfish were not detected, several sunfish hybrids, with one highly suspect Northern x green sunfish hybrid, were captured and further meristic and morphometric work will determine their parental makeup.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 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".