Physical and Hydraulic Properties of Rootzone Mixes Amended with Inorganics for Golf Putting Greens
Bibliographic record
Abstract
A trend to replace peat with inorganic amendments such as calcined clay (CC) and diatomaceous earth (DE) is occurring for athletic fields and golf course putting greens. For laboratory experiments, washed rootzone sand was amended at 15% (v/v) with either Canadian sphagnum peat (CSP), CC, or DE. Amendments reduced the bulk density and increased the total porosity of all mixtures. The DE mixture had the lowest Ksat (41.9 cm h−1), which was attributed to the 2% by weight of particles <0.05 mm in diameter. The inorganic mixtures retained 0.021 to 0.084 cm3 cm−3 less water than the CSP mixture at pressures less than −2.5 kPa. The CSP mixture held significantly more water in the entire profile and in the upper 15 cm compared with the inorganic mixtures and straight sand. Approximately 75% of the total water was lost within the first 15 min after drainage initiation for sand alone and the inorganic mixtures; only 65% was lost in the first 15 min for the CSP mixture. After 24 h of free drainage, the CC mixture lost the most water, while the DE mixture lost the least. Differences among the rootzone mixtures were measured in the first 3 min of drainage, with straight sand and the CC mixture having the greatest flow rate compared with DE and CSP mixtures. After 24 h of free drainage, the gravel layer remained saturated. For improved water retention in the rootzone, CSP remains the preferable amendment to sand when mixed at these ratios.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".