Efecto de la distribución espacial de las propiedades edáficas sobre el manejo de la fertilidad de dos suelos agrícolas
Bibliographic record
Abstract
A study was carried out at the IRDA's Experimental Farm, located in Saint-Lambert de Lauzon (Quebec, Canadá). Two Gleysols were selected (frigid Aeric Haplaquept), soil A belongs to Le Bras series, silty loam, imperfectly drained and with a deep loamy clay horizon. Soil B belongs to Le Bras series, with coarse sandy and skeletal texture. The size of the experimental plots was about 4000 m2 each. In early spring soil samples were taken in a 10 x 10 m grid resulting in forty sample sites. Two kinds of samples were taken, one of the toplayer between 0 and 20 cm and the other of each 10 cm. between 0 and 40 cm. Nitrogen mineralization potential, soil respiration, enzyme activity, texture, bulk density, pH (1:2), total nitrogen, N-NH4, N-NO3, organic carbon, available phosphorus, exchangeable potassium, calcium and magnesium of the samples taken from the toplayer and bulk density, organic carbon and total nitrogen of the samples from each ot the 10 cm. layers were determined. Geostatistical analysis was performed by GS+ software (Gamma Design Software, 2000). Spatial distribution maps of soil properties were made by interpolation (kriging). Spatial variability of bulk density and organic carbon showed a close relationship, even in deep horizons. Total nitrogen, C/N and nitrogen mineralization potential, nitrates and soil respiration showed a spatial distribution pattern likes organic carbon spatial distribution.
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 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) | 0.000 | 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 | 0.000 |
| 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".