Perfil Neuropsicológico en un Paciente con Esquizofrenia
Bibliographic record
Abstract
"La investigación describe el perfil neuropsicológico de un paciente con esquizofrenia en Cúcuta, Colombia. Se utilizó un diseño de investigación tipo ensayo clínico con fin diagnóstico y alcance descriptivo basado en un paciente de 52 años diagnosticado con esquizofrenia paranoide desde los 17 años, quien actualmente es tratado con antipsicótico atípico (risperidona 4,5 mg/día) y antidepresivo tricíclico (clorimipramina 300 mg/día). Se evaluó mediante un protocolo neuropsicológico conformado por Evaluación Cognitiva Montreal (MOCA, del acrónimo en inglés Montreal Cognitive Assessment), Test del Trazo (Trail Making, en inglés) A y B, subpruebas del Test Barcelona, curva de aprendizaje del Test Verbal de California, Figura Compleja de Rey–Osterrieth, y subpruebas de WAIS III, cuyas respuestas generaron indicadores globales asociados con deterioro cognitivo leve, compromiso de la capacidad de atención alternante, memoria de trabajo, conversión acústico-fonológica y memoria declarativa de largo plazo, al igual que sus funciones ejecutivas."
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.
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 | 0.001 |
| 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".