Análisis socioeconómico y evaluación de la demanda de recurso hídrico en la cuenca media del rio Pamplonita del departamento Norte de Santander
Bibliographic record
Abstract
Se realizaron análisis de la información existente en la corporación con relación al tramo en estudio, específicamente lo consignado en el Plan de Ordenamiento de cuencas hidrográficas del rio Pamplonita. Igualmente, se evaluó la demanda del recurso hídrico en el tramo correspondiente desde la desembocadura de la quebrada Iscalá hasta el puente San Rafael en la ciudad de Cúcuta, identificando los vertimientos existentes en el correspondiente desde la desembocadura de la quebrada Iscalá hasta el puente San Rafael en la ciudad de Cúcuta. Por ultimo, se desarrollaron encuestas con el fin de evaluar los diferentes usos del agua en el tramo de estudio.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".