Modelo de evaluación del servicio de agua y drenaje en el Distrito Federal
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Durante las ultimas decadas, la escasez de agua, el deterioro de su calidad y su desigual distribucion han incrementado los riesgos que enfrentan los habitantes del D.F., convirtiendo su prevencion y mitigacion en un desafio que exige el diseno y ejecucion de perspectivas innovadoras en materia de gestion, donde la evaluacion del desempeno de las instancias responsables en la prestacion de dichos servicios es un requisito indispensable. Esta investigacion propone un metodo innovador para evaluar la efi cacia de la gestion del agua en el D.F. a fi n de suministrar a la poblacion con un volumen de agua sufi ciente que cumpla con los estandares de calidad, asi como disponer las aguas residuales de manera rapida e higienica. Asimismo, este metodo identifi ca los grupos mas vulnerables para enfrentar las amenazas potenciales generadas por el insufi ciente abastecimiento de agua o su defi ciente calidad, por la inadecuada extraccion de las aguas residuales y por las zonas y los niveles de riesgo
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.
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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it