Physical Atributes of a Oxisol from the Brazilian Cerrado under Different Management Systems
Bibliographic record
Abstract
The tillage systems induce changes in soil structure; modify the porous space, and influence soil water and air dynamics. In this sense, it is important to evaluate these impacts on soil physical quality according to different tillage system with distinct years of implementation. The physical properties of a Oxisol at the Brazilian Cerrado with distinct tillage conditions (conventional, no-till, and a native Cerrado) with different years were compared. The study was conducted at Novo Horizonte farm, at the Cerrado region of southwest Piauí. Soil samples were collected at 0.0-0.10, 0.10-0.20 and 0.20-0.30 m depth in different management systems: no-till with three and five years of implantation (NT3 and NT5, respectively); conventional till with five and nine years (CC5 and CC9, respectively); and a native cerrado area. Were analyzed the aggregate stability in water, soil bulk density, particle density, macro and microporosity, total porosity and total organic carbon. The years of implementation of the tillage systems caused changes in the soil physical properties, which were more evident in the surface layer. Although improved soil physical attributes were observed in no-till after five years of implantation, a longer evaluation time is required for the studied conditions.
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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 | 0.001 |
| 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 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".