Factores asociados al envejecimiento cerebral patológico en adultos mayores (AM). Centro de atención de enfermería (CAE). Universidad de Guayaquil (UG)
Bibliographic record
Abstract
Pathological brain aging in the elderly, also known as cognitive impairment, is currently a topic of particular interest to the scientific community given the population group that is immersed in the phenomenon in question due to its demographic increase with important consequences on public health. secondary to the economic, political and social impact that this implies; for this reason, by means of this study, the factors associated with this phenomenon in the elderly are determined, who attend the Nursing Care Center (CAE) of the University of Guayaquil (UG). By means of quantitative, cross-sectional, prospective, correlational research, the Montreal Cognitivec Test (MoCa), by Kats, Lawton and Brody, on the socioeconom-ic status of Bronfman and demographic variables, is applied to a sample of 40 older adults by non-probability sampling. The results obtained indicate that pathological brain aging in the elderly is significantly related to some demographic, so-cioeconomic, functional and instrumental factors of daily life; some of them modifiable, instruction, occupation, accompa-niment, income, and others, from which early treatment can be a way to prevent its recurrence and improve the prognosis of pathological aging in the neurological edge of the elderly.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".