El compostaje de palma canaria y lirio acuático: alternativa para reducir problemas ambientales y de suelo
Bibliographic record
Abstract
El compostaje de residuos de palma y lirio acuático es una alternativa para disminuir el volumen de residuos orgánicos. En la Ciudad de México se generaron alrededor de 15 mil metros cúbicos de desechos de palma entre 2022 y 2024, mientras que, las estadísticas del lirio se desconocen. Durante el proceso de compostaje, es vital el monitoreo de distintas variables y actividades de manejo, muchas de las cuales no se realizan en las plantas de compostaje de la CDMX. Previo al uso de compostas, es importante cumplir con los requerimientos establecidos en la NMX-AA-180-SCFI 2018. A través de la investigación científica, se pueden mejorar estas necesidades e impulsar la generación de nuevos productos para el sector agroindustrial, tales como fortificantes de nitrógeno, fosfocompostas, biofertilizantes, té de composta, etc. Además, recientemente se ha incrementado la atención a la mejora de la salud del suelo y la producción de cultivos, donde destaca la incorporación de compostas como una alternativa rentable y ecológica para mejorar sus propiedades físicas, químicas y biológicas.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".