Auditorías energéticas de edificios municipales en Argentina : Proyecto: Euroclima+
Bibliographic record
Abstract
En el marco del proyecto Euroclima+ “Edificios municipales energéticamente eficientes y sustentables” se han realizado 47 auditorías energéticas a edificios municipales, en 13 municipios de las provincias de Buenos Aires, Córdoba, Santa Fe, Neuquén, Mendoza y Misiones. Además, se realizó inicialmente en 2020, la primera encuesta nacional de eficiencia energética en edificios municipales. El objetivo del proyecto es conocer el estado de la red de edificios municipales en cuanto a eficiencia energética y percepción ambiental de sus trabajadores. Para posteriormente proponer planes de rehabilitación y materializar una muestra reducida con apoyo de la Unión Europea y la República de Francia. Participan en el proyecto bajo coordinación de la UNLP, la Red Argentina de Municipios por el Cambio Climático y el E2C2 de Dinamarca. Se exponen resultados alcanzados a la fecha y discuten experiencias.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.044 | 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; both teacher heads agree on what is shown here.
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".