Survival of white-tailed deer in intensively farmed areas of Illinois
Bibliographic record
Abstract
Survival of 265 female and 224 male [Formula: see text]1-year-old white-tailed deer (Odocoileus virginianus) marked on 3 study areas in central and northern Illinois was examined. Females lived, on average, 5.5 years and males 2.5 years from birth. Twenty-four of the 265 females lived for at least 10 years from birth, but only 14 males for at least 5 years. The oldest female was 18 years of age and the oldest male 9 years old when killed. For both sexes, deaths were concentrated in the fall, with males more likely to die than females. Males were more likely to die from hunting and females from other causes. Known wounding deaths were 1 for every 3 retrieved deer for archers and 1 for every 8 for firearms hunters. Dispersing male and female yearlings and 2-year-olds suffered greater mortality than did sedentary deer. Annual survival rates of yearling and older females ranged from 0.56 (dispersing 2-year-olds) to 0.92 (8-year-olds). Survival was significantly reduced for 5-year-old females compared with those both older and younger. Annual survival of rates males ranged from 0.35 (dispersing 2-year-olds) to 0.76 (sedentary yearlings).
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".