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Record W2412579281

[The MoCA scale in diagnosis of the amnestic syndrome--case report].

2011· article· en· W2412579281 on OpenAlexaboutno aff
Monika Talarowska, Dominika Berent, Agata Orzechowska, Krzysztof Zboralski, Piotr Gałecki

Bibliographic record

VenuePubMed · 2011
Typearticle
Languageen
FieldPsychology
TopicCognitive Functions and Memory
Canadian institutionsnot available
Fundersnot available
KeywordsAmnesiaMontreal Cognitive AssessmentCognitionCognitive psychologyPsychologyNeuropsychologyOrientation (vector space)Neuropsychological assessmentExecutive functionsCognitive impairmentAudiologyMedicinePsychiatry
DOInot available

Abstract

fetched live from OpenAlex

AIM: Among main symptoms of the amnestic syndrome we can distinguish: short-term and long-term memory deterioration, deficiency of the effectiveness of learning, the anterograde amnesia and the retrograde amnesia, lack of the orientation in the place and in the time and confabulations. The aim of the study is to introduce the unknown tool of cognitive assessment named Montreal Assessment Cognitive (MoCA). The authors want to indicate the diagnostic accuracy of the scale in the examination of the amnestic patient. METHOD: In the neuropsychological examination of the amnestic patient, the Montreal Cognitive Assessment scale was used. RESULTS: The patient correctly performed the tasks which estimated effectiveness of the visual-motor coordination, language abilities (naming, repeating of the sentences) and effectiveness of the short-term memory. Difficulties in the remaining tasks indicate at deficiency of the effectiveness of the learning ability, long-term memory (recognition), abstractive thinking and the orientation in the place and time. Deterioration of the working memory and executive functions is also noticeable. CONCLUSIONS: Montreal Cognitive Assessment scale is a useful tool for the evaluation of the cognitive functions among amnestic patients.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.054
GPT teacher head0.254
Teacher spread0.200 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
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

Citations1
Published2011
Admission routes1
Has abstractyes

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