Preliminary Analysis of Mark-Recapture Data for an Ongoing Autecological Study of the Northern Watersnake, Nerodia sipedon sipedon, in a West Virginia stream.
Bibliographic record
Abstract
The northern watersnake, Nerodia sipedon, is a natricine ubiquitous across aquatic habitats of the eastern United States. Found as far north as Ontario, as south as Florida, and stretching as far west as Utah, this species is ever-present and often in high abundance. The prevalence of N. sipedon has garnered extensive research, much of which concerns its reproduction. However, thorough, long-term studies, especially within stream ecosystems, are lacking. The purpose of this study is to fill that void, serving as an analysis of data from the first two years of ongoing autecological research on a N. sipedon sipedon population within Short Creek, a rural stream in the northern panhandle of West Virginia. Morphometric, dietary, thermal, habitat and movement data were recorded for each capture, however this analysis primarily focuses on mark-recapture data in an attempt to provide insight towards implementing radio telemetry during future activity seasons. Further research will investigate unanalyzed data, identify hibernacula, and build upon the established data set.
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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 | 0.001 | 0.002 |
| 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".