Field-scale variation of soil phosphorus within small alberta watersheds
Bibliographic record
Abstract
Field-scale variation in soil-test phosphorus (STP) and the degree of soil phosphorus saturation (DPS) can affect predictions of phosphorus loss from agricultural soils. Our objectives were to characterize STP and DPS and relate these to topographic characteristics within eight small watersheds in Alberta, Canada. An ungrazed grassland site (2 ha [5 ac]) and seven cultivated sites (22 to 248 ha [54 to 613 ac]) represented a range of tillage and manured conditions. Soils were sampled by landform position at three depths (1 point per 1 to 5 ha [2 to 12 ac]) in fall 2003. Levels of STP in 0 to 2.5 cm (0 to 1 in) were up to two times greater than in 0 to 15 cm (0 to 6 in) at non-manured sites. Within-field variation in STP and DPS was not well related to landform class or topographic index, although some variation was attributable to previous management. Current agronomic sampling strategies should give adequate representations of STP and DPS where management and soil properties are similar.
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".