The effectiveness of Tillage Radish® to improve the growing medium for trees
Bibliographic record
Abstract
Urban trees provide ecosystem services, the value of which is dependent on canopy coverage. However, canopy growth is often restricted by soil compaction. Compaction reduces plant access to important soil resources and mechanically impedes root growth. Bio-drilling plants offer an alternative approach to conventional remediation methods. The study evaluated the effectiveness of growing Tillage Radish® to remediate soil compaction and improve soil quality under established trees. The study plot was located in Guelph, Ontario. Soil data was collected before and after planting radish. Results indicated that 1) radish growth was limited by nutrients but not soil compaction. And, 2) Tillage Radish® reduced surface compaction in moderately to highly compact soils. Other soil characteristics did not change significantly. The results suggested that planting Tillage Radish® has potential to remediate compaction in the rooting zone of trees. However, fertilization may be necessary to maximize radish growth and its associated soil remediation benefits.
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 | 0.001 | 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".