Spatial variability of available nutrients in soil in nearly level fields in northeastern Saskatchewan
Bibliographic record
Abstract
A long-term bromegrass (Bromus inermis Leyss) experiment was initiated in 1968 on a thin Black Chernozemic (Typic Boroll) soil at Crossfield, Alberta, Canada. Data was collected on dry matter yield (DMY), total precipitation (TP) and mean maximum daily temperature (MMDT) over 23 years. The results showed that TP and MMDT for May, June and July fluctuated in the range of 116.0-258.2 mm and 18.4-21.8°C from 1968 to 1990. The DMY during this period ranged from 0.54 to 2.80 Mg ha-1 in the zero-N treatment, and from 2.93 to 10.06 Mg ha-1 with application of 112 kg N ha-1. The regression analysis of data indicated that DMY increased with increase in precipitation, and decreased with rise in temperature. Application of N intensified response of DMY to the changes in precipitation and temperature during the growing season.
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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 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| 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".