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Record W7028723004

Genetic analysis of amyotrophic lateral sclerosis and other motor neuron disorders

2009· dissertation· en· W7028723004 on OpenAlexfundno aff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2009
Typedissertation
Languageen
FieldMedicine
TopicMedical and Health Sciences Research
Canadian institutionsnot available
FundersCanadian Institutes of Health ResearchGenome CanadaNatural Sciences and Engineering Research Council of CanadaALS Society of CanadaMcGill University
KeywordsAmyotrophic lateral sclerosisRiluzoleMotor neuronSOD1DiseaseGenetic analysisDegenerative diseaseSpinal cordDegeneration (medical)
DOInot available

Abstract

fetched live from OpenAlex

Amyotrophic lateral sclerosis (ALS) is a devastating motor neuron disease which results from the degeneration of upper and lower motor neurons in the brainstem, spinal cord and motor cortex. Tragically there is no treatment to prevent ALS. The drug Riluzole acts to delay progression, but only by a month or so in this disease that has a survival length of three to five years. The identification of genes that are mutated in patients with ALS would help devise novel therapeutic strategies as much remains to be discovered about the genetics of ALS. Familial forms of the disease account for only 5-10% of patients. Among these familial cases, about 15-20% are caused by mutations in the zinc/copper superoxide dismutase gene, but the genetic basis of the remaining familial cases and the many sporadic cases continues to be largely unknown.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.961
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.303
Teacher spread0.272 · 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
Published2009
Admission routes1
Has abstractyes

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