The Effect of Capture, Handling, and Tagging on Hematological Variables in Wild Adult Lake Sturgeon
Bibliographic record
Abstract
Abstract We measured hematocrit and plasma osmolality, cortisol, lactate, glucose, and chloride in wild lake sturgeon Acipenser fulvescens after gill-net capture (24-h sets) and multiple bouts of brief (2–3-min) air exposure during removal from nets and again during measurement and tagging procedures. Our objective was to evaluate the physiological consequences associated with capture, handling, and tagging activities commonly employed during mark–recapture studies and to determine whether blood chemistry values moved toward a resting state after a 3-d recovery period. Lake sturgeon that were caught during spring tagging activities showed plasma cortisol, glucose, lactate, osmolality, and chloride levels similar to those exhibited by maximally stressed lake sturgeon in published laboratory studies. After the 3-d recovery period, all physiological stress indicators had approached a nonstressed state and the values were similar to those previously reported for resting lake sturgeon. It appears that capture–mark–recapture programs that subject lake sturgeon to stressors similar to those applied here do not pose a significant threat to this often legislatively protected species.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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".