martin et al_wild turkey roost microclimate data
Bibliographic record
Abstract
We studied microclimate variables (specifically overnight wind speeds, air temperatures, and accumulated precipitation) at roost trees used by eastern wild turkeys (<i>Meleagris gallopavo silvestris</i>) near Peterborough, Ontario, Canada. We also measured tree characteristics (diameter at breast height and whether the tree was coniferous or deciduous). We measured the same conditions and characteristics at non-roost trees paired with the roost trees. We sampled 25 winter roost pairs and 30 summer roost trees (i.e., pairs in which the roost tree was known to be used by turkeys during winter and summer, respectively). For each pair, the non-roost tree was nearby (50 m away from the roost tree) and represented a tree that was available to turkeys but not apparently used (based on GPS-tagged turkeys and visual inspection for evidence of roosting). Data for winter roost trees were collected from December 1, 2022, to March 27, 2023; and data for summer roost trees were collected from June 1, 2023, to September 25, 2023.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.006 | 0.013 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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; both teacher heads agree on what is shown here.
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".