Respuesta de la caña de azúcar (Saccharum officinarum) al abonado orgánico en el norte de Belice
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
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 %.
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 | 0.004 | 0.006 |
| 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 | 0.001 |
| 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