A retrospective analysis of the Vancouver Island marmot (Marmota vancouverensis) conservation breeding and release program: Conservation physiology and hibernation
Bibliographic record
Abstract
The Vancouver Island marmot (Marmota vancouverensis) is an endangered mammal whose \npopulation is being recovered with a conservation breeding and release program. This involves \nmanagement both in and ex situ, so it is vital to understand how the different environments are \naffecting the populations to maximize program outcomes. The purpose of this thesis was to \nretrospectively analyze data collected from this program to address questions relevant to \npopulation recovery. The first chapter compared the physiology of the managed populations \nusing the neutrophil: lymphocyte ratio and found significant differences in this metric among \ntargeted comparisons. The second chapter assessed factors that may be contributing to \nhibernation-related mortality of marmots during their first winter post-release. I found a \ncombination of environmental and intrinsic factors influencing this mortality. Overall, this thesis \ncontributes to a growing body of literature surrounding the efficacy of conservation breeding and \nrelease programs to recover critically endangered 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 | 0.001 | 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".