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Record W2749470389 · doi:10.1016/j.pjnns.2017.08.003

Autosomal recessive spastic ataxia of Charlevoix-Saguenay (ARSACS) – A Polish family with novel SACS mutations

2017· article· en· W2749470389 on OpenAlexaboutno aff
Magdalena Krygier, Agnieszka Konkel, Michał Schinwelski, Małgorzata Rydzanicz, Anna Walczak, Magdalena Sildatke-Bauer, Rafał Płoski, Jarosław Sławek

Bibliographic record

VenueNeurologia i Neurochirurgia Polska · 2017
Typearticle
Languageen
FieldNeuroscience
TopicGenetic Neurodegenerative Diseases
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineSpasticityAtaxiaCerebellar ataxiaSpasticSpinocerebellar ataxiaPeripheral neuropathyGeneticsMutationNeuroscienceGenePhysical medicine and rehabilitationPsychiatryBiologyEndocrinology

Abstract

fetched live from OpenAlex

Autosomal recessive spastic ataxia of Charlevoix-Saguenay (ARSACS) is a rare hereditary ataxia, characterized by the triad of early-onset cerebellar ataxia, peripheral sensorimotor neuropathy and lower limb spasticity. Although ARSACS is increasingly reported worldwide, we present the first Polish family with a comprehensive clinical and neuropsychological assessment, harboring two novel mutations in the SACS gene. Our results demonstrate the variability in cognitive and behavioral profiles in ARSACS, which is in line with other heredodegenerative ataxias. One should be aware of ARSACS in cases of autosomally recessive inherited ataxias without common mutations.

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)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.398
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0000.001
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 head0.036
GPT teacher head0.275
Teacher spread0.239 · 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 designBench or experimental
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

Citations18
Published2017
Admission routes1
Has abstractyes

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