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Record W7033022270

Perfil Neuropsicológico en un Paciente con Esquizofrenia

2017· article· en· W7033022270 on OpenAlexaboutno aff

Bibliographic record

VenueDialnet (Universidad de la Rioja) · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicPhilippine History and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsNeuropsychologySchizophrenia (object-oriented programming)Paranoid schizophreniaCognitionNeuropsychological assessmentAntipsychoticTest (biology)Executive functions
DOInot available

Abstract

fetched live from OpenAlex

This research aims to describe the neuropsychological profile in a patient with schizophrenia in the city of Cucuta, Colombia. A clinical trial type research \ndesign with a diagnostic purpose and descriptive scope was used in a patient aged 52 diagnosed with paranoid schizophrenia since age 17, currently being \ntreated with atypical antipsychotic (Risperidone 4.5 mg/day) and tricyclic antidepressants (Clomipramine 300 mg/day). A neuropsychological protocol consisting of Montreal Cognitive Assessment (MOCA), Trail Making Test A and B, subtest of Barcelona Test, learning curve of the California Verbal Learning Test, \nRey–Osterrieth Complex Figure Test, and WAIS III subtests, recorded global indicators associated with mild cognitive impairment, commitment in the capacity \nof alternating attention, working memory, acoustic-phonemic conversion, and long-term declarative memory, as well as his executive functions.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.860
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.012
GPT teacher head0.262
Teacher spread0.250 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2017
Admission routes1
Has abstractyes

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