Bibliographic record
Abstract
The objective of this project was to develop a query to predict the late-winter distribution of mule deer (Odocoileus hemionus) in Supply Block F, Prince George Forest District. On the basis of literature review, the following criteria were identified for the development of a query to produce predictive maps of mule deer late-winter distribution: 1) stand composition; 2) age; 3) canopy closure; 4) tree height; 5) tree dbh; 6) basal area; 7) percentage of shrub cover; 8) aspect; and 9) slope. Road surveys conducted in December 2004 identified five locations with deer tracks on the east side of the study area. Tracks were within or near polygons with late-successional, coniferous-deciduous stands dominated by pine or spruce, in association with aspen. Canopy closure was ≥ 50%; tree heights ranged from 24 to>30 m; diameter at breast height, from 24.8 to 31.9 cm. All surrounding stands had a basal area that exceeded 45 m2/ha in merchantable timber, and were located on ≤ 20 % slopes, on west, south-southwest, and north-northeast aspects. Literature review and findings on the local distribution of deer led to the following query: late-successional coniferous-deciduous or coniferous-dominated stands,
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) | 0.000 | 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) | 0.000 | 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; a candidate call from one teacher head, 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".