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Record W2047373179 · doi:10.1044/1058-0360(2005/020)

Speech and Language Findings Associated With Paraneoplastic Cerebellar Degeneration

2005· article· en· W2047373179 on OpenAlexaff
Teresa Paslawski, Joseph R. Duffy, Steven Vernino

Bibliographic record

VenueAmerican Journal of Speech-Language Pathology · 2005
Typearticle
Languageen
FieldMedicine
TopicAutoimmune Neurological Disorders and Treatments
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsDysarthriaParaneoplastic cerebellar degenerationMedicineAtaxiaCerebellar DegenerationCerebellar ataxiaEtiologySpasticAudiologySwallowingPathologyPhysical medicine and rehabilitationSurgeryCerebral palsy

Abstract

fetched live from OpenAlex

Paraneoplastic cerebellar degeneration (PCD) is an autoimmune disease that can be associated with cancer of the breast, lung, and ovary. The clinical presentation of PCD commonly includes ataxia, visual disturbances, and dysarthria. The speech disturbances associated with PCD have not been well characterized, despite general acceptance that dysarthria is often part of the initial presentation. A retrospective study was conducted of the speech, language, and swallowing concerns of patients with PCD evaluated at the Mayo Clinic in Rochester, MN, between 1990 and 2001. Prospective speech and language assessments were then conducted with 5 patients who had PCD. While ataxic dysarthria was the most common speech diagnosis, a spastic component was recognized frequently enough to suggest that the subacute (days to weeks) emergence and progression of an ataxic or mixed ataxic-spastic dysarthria in the setting of a more diffuse cerebellar ataxia should raise suspicions about PCD and justify further investigation of a possible immune-related etiology.

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)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.644
Threshold uncertainty score0.537

Codex and Gemma teacher scores by category

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

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 head0.006
GPT teacher head0.246
Teacher spread0.240 · 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.

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

Citations5
Published2005
Admission routes1
Has abstractyes

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