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Communicative processes of individuals with injuries of the right cerebral hemisphere

2013· article· en· W4302076425 on OpenAlexaboutno aff
Aline Rodrigues Pinto, Ana Paula Ferreira Gastão, Milene Silva Ferreira, Marla Fabiana Rodrigues Oliveira Sakamoto, Andréa Siqueira Kokanj Santana

Bibliographic record

VenueActa Fisiátrica · 2013
Typearticle
Languageen
FieldHealth Professions
TopicAssistive Technology in Communication and Mobility
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyCognitionAgnosiaPerceptionAudiologyStroke (engine)MedicinePsychiatry

Abstract

fetched live from OpenAlex

Objective: This study aimed to profile the language skills of patients with damage to the right cerebral hemisphere attended at the Ibirapuera Unit (Central) of the Association for the Welfare of Handicapped Children - AACD (Associação de Assistência à Criança Deficiente - AACD/Unidade Ibirapuera - Central), and to discover the perceptions of caregivers and patients regarding the presence or absence of language disorders after a stroke. Method: The descriptive study was conducted from July to September of 2009 with 11 adults through the application of the Montreal Communication Evaluation Battery (known in Brazil as Bateria MAC) tests, the Questionnaire on Awareness of Difficulties, and the Communicative Disorders Screening on individuals with neurological conditions, direct relatives, and/or caregivers. Results: It was found that 90.9% of patients with injuries of the right cerebral hemisphere had a deficit in at least one of the tests comprising the Bateria MAC assessment of language. Conclusion: Findings showing the patient’s absence of awareness of their linguistic and cognitive deficits are also very important, not only about their daily life activities, but about their agnosia.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.075
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.031
GPT teacher head0.360
Teacher spread0.329 · 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 designObservational
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
Published2013
Admission routes1
Has abstractyes

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