Early growth performance of salal (<i>Gaultheria shallon</i>) from various North American west-coast locations
Bibliographic record
Abstract
Salal is a native perennial evergreen shrub occurring from the panhandle of Alaska along the entire coast of British Columbia to southern California. In the North American west coast industrial forest it is considered a weed because it is a persistent, serious competitor with coniferous species. Intraspecific genotypic and phenotypic diversity of salal is not well known despite of its ecological and economic significance. A morphometric analyses within and among populations was performed in a statistically appropriate manner. Two-year-old container grown seedlings of 24 collections of salal from throughout the natural area of distribution in western North America were planted in a randomized complete blocks design (6 blocks) on a cleared 0.7 ha plot on Vancouver Island. Each of the 24 seedlots was planted once in each block with 24 plants per seedlot in April 1990. Shoot height and the number of buds prior to planting, the plant spatial volume (product of plant height and plant width on two perpendicular axes) in 1992 and 1993, the relative growth increment (1992)(1993) and the number of dead plants in 1992 and 1993 were subjected to analysis of variance. No differences among seedlots were detected for the relative growth increment and the number of dead plants in 1992 and 1993. Conversely, shoot height and the number of buds prior to planting as well as the plant volume in 1992 and 1993 showed statistically significant seedlot effects. Cluster analysis of these effects revealed greatest differences in plant response among the eastern-and southernmost collection and the remainder of the collections; i.e. three geographical races of salal may exist.
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 | 0.001 |
| Science and technology studies | 0.000 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".