Deterioro cognitivo en población adulta mayor de Cuenca, Ecuador
Bibliographic record
Abstract
El deterioro cognitivo resulta importante en su análisis en la vida adulta, debido que se relaciona con la calidad de vida de esta población, por ello el objetivo de esta investigación fue determinar el deterioro cognitivo de la población de adultos mayores en Cuenca, Ecuador. La metodología utilizada fue cuantitativa, descriptiva de corte transversal, diseño no experimental, muestra no probabilística de 438 adultos mayores de la ciudad de Cuenca, de 65 años en adelante, hombres y mujeres. La recolección de datos se dio mediante el Examen Cognoscitivo Mini Mental (MMSE) y la Evaluación Cognitiva de Montreal (MoCA). El análisis de datos demostró que no existen diferencias significativas para género, pero si para rangos etarios y nivel de instrucción, concluyendo que existe normalidad o un deterioro leve en la población estudiada, además de no existir una diferencia significativamente a nivel estadístico en hombres y mujeres.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".