Bibliographic record
Abstract
Las tecnologías de energía renovable como la eólica, la solar y la biomasa, hacen un uso del suelo más intenso que las de combustibles fósiles tradicionales y, geográficamente, sus implicaciones ambientales son más heterogéneas, por lo que presentan un gran desafío para las técnicas de evaluación de su ciclo de vida. Este trabajo presenta los resultados de una investigación bibliográfica alrededor de los siguientes temas: 1) cambios en el uso del suelo debido a la mayor producción de energía renovable; 2) impactos del uso de suelo; 3) variabilidad geográfica en el inventario de datos; y 4) efectos de la distribución de energía. Además, se revisa el grado de investigación que actualmente se aplica acerca de las tecnologías de energía renovable en campos como el eólico, el solar y la bioenergía y en la evaluación del ciclo de vida en general.
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.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 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".