Bibliographic record
Abstract
The Annex neighbourhood is an old neighbourhood located in downtown Toronto, Ontario. Due to its early history in land development, it started with tree planting back in the 1900s. The first tree inventory for the Annex was done from 2011 to 2014. The inventory project was conducted by volunteers and students from the University of Toronto with support from the Neighbourwoods© program. In 2022, the community started reassessing trees sampled in 2011. The objectives of this study were to understand the performance of the three most abundant maple species, Manitoba maple (Acer negundo), Norway maple (Acer platanoides), and silver maple (Acer saccharinum), in the Annex by analyzing the changes in their growth from 2011 to 2022. The other objective was to assess their health condition by analyzing three health indicators, rot/cavity on the trunk, crown defoliation, and branch poor attachment. The results show that Manitoba and silver maples have significantly faster growth rates than Norway maple in the Annex. Norway maple demonstrates a comparatively inferior performance when compared to Manitoba and silver maples. Notably, Norway maple exhibits a significantly slower diameter at breast height (DBH) growth rate than silver maple. While the defect of rot/cavity has a lesser impact on Norway maple compared to Manitoba and silver maples, crown defoliation and poor branch attachment emerge as the two pressing tree health issues that require attention. In 2022, there is an increase in the number of Norway maple trees exhibiting higher severity levels of these defects compared to the data collected in 2011, emphasizing the need for prompt resolution.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".