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Record W279603185 · doi:10.71781/27439

Découverte d'un gène causant une ataxie spastique héréditaire dominante dans la population de Terre-Neuve

2012· dissertation· fr· W279603185 on OpenAlexaboutno aff
Cynthia V. Bourassa

Bibliographic record

VenueOpen MIND · 2012
Typedissertation
Languagefr
FieldNeuroscience
TopicGenetic Neurodegenerative Diseases
Canadian institutionsnot available
Fundersnot available
KeywordsPhilosophyHumanitiesMolecular biologyGynecologyBiologyMedicine

Abstract

fetched live from OpenAlex

Les ataxies spastiques héréditaires forment une famille hétérogène de désordres qui ont des points communs avec les ataxies héréditaires et les paraplégies spastiques héréditaires. Un de ces éléments est une ataxie, soit une difficulté de coordination des membres souvent due à un dommage au cervelet. L’autre est une spasticité des membres inférieurs, souvent due à des dommages à la voie cortico-spinale. Une seule ataxie spastique à hérédité autosomique dominante a été rapportée dans la littérature, et il s’agit de SPAX1. À l’aide de trois familles de Terre-Neuve présentant ce phénotype, le locus a été identifié en 2002. Dans ce mémoire, c’est de la découverte du gène causal dont il est question. La mutation a été trouvée dans le gène VAMP1, qui encode la protéine synaptobrévine 1, une protéine synaptique impliquée dans l’exocytose des neurotransmetteurs. Il est aussi question de la caractérisation fonctionnelle de la mutation sur l’ARN et des conséquences possibles sur la protéine, concordant avec les symptômes de la maladie.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.981
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.030
GPT teacher head0.319
Teacher spread0.289 · 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
Published2012
Admission routes1
Has abstractyes

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