Respuesta de la caña de azúcar (Saccharum officinarum) al abonado orgánico en el norte de Belice
Bibliographic record
Abstract
Among the most productive activities in northern Belize is sugar cane; as a result, it is a livelihood and income base for many Belizeans who depend on it. However, the low productivity has been an important factor since it has limited the production yield due to high costs of inputs such as synthetic chemical fertilizers, pesticides, among others. Also, due to its intensive application, it has caused a problem in sustainability between the soil, crops and the environment. The objective of this study was to evaluate the response of sugarcane to organic fertilization in northern Belize. The work consisted of a completely randomized experimental design of 10 treatments, made up of the control (without fertilization), synthetic chemical fertilization, bokashi, bovine biol, and their combinations. The variables evaluated were: Diameter, longitude, and stem weight, maturity index, number of dry leaves, weight of dry leaves, green tops, plant weight and plant longitude. The treatment that obtained the best result was treatment ten (T10, 3 t edaphic bokashi + 2 % foliar biol). It also obtained the highest yield of tons per hectare (t ha-1) with 330; likewise, higher maturity index with 89.9 %.
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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 | 0.000 |
| 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) | 0.001 | 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".