Diversification of Crops and Conservation Management in Lowland Soils of Rio Grande do Sul
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The lowland soils in Rio Grande do Sul occupy an area of approximately 5.4 million hectares of the state. They are flat to mildly hilly topography soils, developed, under varied conditions of drainage deficiency (hydromorphism). In this ecosystem, the extensive productive livestock system and irrigated rice were developed, used successfully for many decades. However, its characteristics and peculiarities have contributed to the cost of production, disseminate weed seeds in the crops and degrade the physical state of the lowland soils, due to this, the interest arose for the use of new alternatives that were, at the same time, efficient in the control of red rice, economically viable and able to maintain or even recover soil quality. The search for practices capable of increasing the productivity of irrigated rice and, especially, its sustainability over time has been the focus of several studies, so the objective of this review was to present aspects related to crop diversification and conservation management of lowland soils, mainly in relation to rotation and succession practices.
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.
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 | 0.001 |
| 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 it