Bibliographic record
Abstract
La industrialización junto con el crecimiento de la población mundial ha llevado a desarrollos tecnológicos para dar respuesta rápida a las necesidades de la sociedad. Al querer sistemas de refrigeración más seguros, con me- jor eficiencia frigorífica, se compromete la estabilidad del medio ambiente al utilizar sustancias químicas como los CFC que agotan la capa de ozono y ponen en peligro la vida en la tierra(Llombai, 2015). Luego de firmar el protocolo de Montreal y las diferentes enmiendas los países miembros están comprometidos vigilar y restringir el uso de sustancias que comprometan el medio ambiente(Sánchez Segura, 2010), los ingenieros deben seguir unas guías para diseñar, instalar y mantener los sistemas de refrigeración y aire acondicionado que no dañen el medio ambiente y hacer sostenible el desarrollo del país.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.003 |
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".