ANTECEDENT SOIL WATER FOR MANAGED LANDSCAPES IN CENTRAL ALBERTA
Bibliographic record
Abstract
Land management practices are known to influence runoff through alteration of the antecedent soil water. Foraccurate estimation of runoff, direct measurement of antecedent soil water would be necessary. This study investigatedantecedent soil water and the potential for summer storm runoff under different land management practices. The two-yearstudy was conducted on five sites: three sites under forage (one on reclaimed mine lands), and two sites under pasture.Treatments included haying, mowing, fallow, and moderate and heavy livestock grazing. Soil water was measured with aneutron probe and was generally less than 50% of water holding capacity (dry conditions). During recharge periods,water increased to near field capacity, but soil water was close to wilting point for some measurement dates. Pasture siteswere generally wetter than forage sites, with the difference being most pronounced on fallow treatments. The reclaimedsite had generally lower total soil water than the unmined ones.
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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".