Energías renovables y cambio climático
Bibliographic record
Abstract
Cambio climático y energía son dos caras de la misma moneda.Por ello, para afrontar con éxito el problema del cambio climático es necesario un cambio importante en los sistemas energéticos actuales.Sin embargo, la mitigación de las emisiones de gases de efecto invernadero ha sido limitada hasta el momento, en buena medida por las características del cambio climático: externalidad global y dinámica sujeta a numerosas incertidumbres.Independientemente de una mayor o menor cooperación internacional, no obstante, hay razones (no solo climáticas) para actuaciones unilaterales y, dentro de éstas, las energías renovables han de jugar un papel fundamental.En este trabajo resumimos las principales conclusiones de los estudios prospectivos sobre el protagonismo de las fuentes renovables en los sistemas energéticos futuros.También subrayamos la importancia de una adecuada definición de políticas para que las energías renovables contribuyan de forma significativa a la mitigación de gases de efecto invernadero.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".