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Record W2608476080

Lateralizacja funkcji językowych u pacjentów z pierwotnymi nowotworami OUN. Lokalizacja pierwotnie rozproszona, transfer międzypółkulowy, czy różnice interpersonalne

2015· article· pl· W2608476080 on OpenAlexaboutno aff
Agnieszka Rożek

Bibliographic record

VenueLogopedia Silesiana (University of Silesia Press) · 2015
Typearticle
Languagepl
FieldArts and Humanities
TopicLinguistic Education and Pedagogy
Canadian institutionsnot available
Fundersnot available
KeywordsCognitionRight hemisphereLateralization of brain functionPsychologyNeuroscienceMedicineAudiology
DOInot available

Abstract

fetched live from OpenAlex

There are still many controversies concerning the location of cortical functional areas involved in speech processes. It has been proved that brain plasticity mechanisms enable the transfer of functions between areas located in the same hemisphere as well as through the commissural fibres system to the opposite hemisphere. The originally distributed location of functional areas may also exist simultaneously in both hemispheres. The aim of this study was twofold: to analyse speech problems occurring in patients treated for primary tumours of the CNS and to attempt to correlate symptoms with the location of damage. The Montreal Cognitive Assessment (MoCA), The Right Hemisphere Language Battery – Polish version (RHLB-PL) and the neurologopaedic diagnosis were used for evaluation. The authors present the preliminary results of a group of twenty patients with primary brain tumours.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.001

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 head0.117
GPT teacher head0.248
Teacher spread0.131 · 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 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
Published2015
Admission routes1
Has abstractyes

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