Morphological Changes in Sugarcane as a Function of Metallurgic Slag and Gypsum
Bibliographic record
Abstract
Drought associated with soil acidity and exchangeable Al3+ in depth are one of the main limiting factors in agricultural production in Northeast Brazil. Acidity correctives such as limestone, metallurgy slag, and gypsum are alternatives to minimize the effects of seasonal droughts on the crop. A field study was carried out to evaluate the effect of the slag and gypsum on the morphological aspects and productivity of sugarcane during two crop cycles. A randomized block design in subdivided plots scheme with four replications was used. The plot consisted of five rows of 10 m length each, spaced 1 m from each other. Treatments consisted of five levels of metallurgy slag (0; 1; 2; 3 and 4 Mg ha-1) and two levels of gypsum (0 and 1.9 Mg ha-1). Slag and gypsum had no effect on sugarcane plant yield. However, regarding sugarcane ratoon, slag increased the yield per hectare by 1.96 Mg ha-1 and sugar yield by 0.33 Mg ha-1 per Mg of applied slag. Slag and gypsum provided better biomass allocation to the root system and improved root distribution along the soil profile.
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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 | 0.000 | 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) | 0.001 | 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".