Longevity of Turf Response to Agrium AT Slow and Controlled Release Fertilizers – 2012 trial
Bibliographic record
Abstract
The objective of this research project was to quantify turf response to a one-time application of coated urea fertilizers on Kentucky bluegrass turf on a soil rootzone. The longevity of turf response was compared between slow release and controlled release fertilizers. Turf performance was assessed for colour, quality, uniformity, and density through visual ratings as well as normalized-difference vegetation index (NDVI) readings. Shoot growth was measured through dry weights of clippings that were collected periodically. All treatments except one showed a significant improvement in colour and growth compared to the control plots. Fertilizer effects were seen within 10 days and persisted for the entirety of the 20 week data collection period. The average gain of fertilized treatments over control was 2.5 ranks in visual colour ratings or 0.12 units for NDVI. There were significant differences found between treatments in both strength of response and days to maximum release, again with the exception of one treatment.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.001 | 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".