SÃntesis de captadores y liberadores de fertilizantes a partir de nanomateriales arcillosos
Bibliographic record
Abstract
Resumen: El presente trabajo da alternativas para un uso más eficiente de fertilizantes primarios empleados en las prácticas agrÃcolas, tales como los fosfatos y los nitratos. El objetivo es proponer nanomateriales que tengan la capacidad de retener este tipo de fertilizantes y que, posteriormente, puedan liberarse de manera controlada. Para ello es necesario materiales económicos, no tóxicos y fáciles de manipular. En este sentido, las arcillas (catiónicas y aniónicas) resultan ser excelentes candidatos como materiales liberadores de fertilizantes. En este estudio, se abarcan dos puntos importantes: 1) la sÃntesis y la caracterización de arcillas catiónicas y aniónicas susceptibles de retener fosfatos y nitratos y, 2) la capacidad y eficiencia que tienen estos materiales para liberar estos fertilizantes en solución acuosa.
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How this classification was reachedexpand
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".