Lonely Days! Celebrity Golf & Basketball Tournaments
Bibliographic record
Abstract
Ethnobotanic use. Canadian Indians used jack pine wood as frames in their canoes. Commercial uses: Jack pine is important timber species in the Lake States of the United States and Canada. These trees produce pulpwood, lumber for construction, telephone poles, fence posts, mine timbers, and railroad ties. Jack pine is used as Christmas trees and for stabilization of watersheds. Wildlife uses: Serves as habitat and breeding area for the endangered Kirtland's warbler (Dendroica kirtlandii), federally endangered bird. These small birds utilize jack pine stands ranging from 1.5 and 6 m (5 to 20 ft) tall larger than 32 ha (80 acres) as nesting grounds. White-tailed deer (Odocoileus virginianus) browse saplings and young trees and Plant Guide snowshoe hares (Lepus americanus) feed on young seedlings. Porcupines (Erethizon dorsatum) feed on bark that often leads to deformed trees. Red squirrels (Tamiasciurus hudsonicus), chipmunks (Eutamias spp.), mice (Peromyscus leucopus), goldfinches (Carduelis tristis), and robins (Turdus migratorius) consume seeds. Status Please consult the PLANTS Web site and your State Department of Natural Resources for this plant’s current status (e.g. threatened or endangered species, states noxious status, and wetland indicator values).
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 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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.696 | 0.467 |
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".