Evaluación y rehabilitación de la capacidad comunicativa en una paciente con Afasia de Broca
Bibliographic record
Abstract
Se realizó una evaluación y rehabilitación de la capacidad comunicativa de una paciente de 75 años de edad con afasia de Broca, en la ciudad de Trujillo, Perú, con una paciente quien sufrió accidente cerebrovascular. En la evaluación neuropsicológica, se realizó un análisis clínico cualitativo y aplicación de las pruebas Stroop, INECO Frontal, Mini Mental, Montreal Cognitive Assessment, Batería Neuropsi, Copia de una figura compleja y Test de percepción de diferencias; posteriormente, se ejecutó un programa de rehabilitación -entre agosto y noviembre de 2017- con el objetivo de favorecer el logro de conductas comunicativas para que la evaluada realice sus actividades diarias con autonomía. En conclusión, se mejoró levemente la capacidad comunicativa de la paciente y, debido a ello, su autonomía.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".