MétaCan
Menu
Back to cohort
Record W2043325701 · doi:10.1080/17434470410019726

North East ALS Study Group

2004· article· de· W2043325701 on OpenAlexaboutno aff
Merit Cudkowicz, Jeremy M. Shefner

Bibliographic record

VenueAmyotrophic Lateral Sclerosis and Other Motor Neuron Disorders · 2004
Typearticle
Languagede
FieldMedicine
TopicAmyotrophic Lateral Sclerosis Research
Canadian institutionsnot available
Fundersnot available
KeywordsGroup (periodic table)GeographyPhysics

Abstract

fetched live from OpenAlex

The Northeast ALS consortium was formed in 1995 with nine sites interested in collaborative clinical research. We have since expanded to over 30 participating sites across much of the US. We also hope to collaborate with clinical researchers in Europe and Canada for Phase III efficacy trials that require the involvement of many sites. Our mission statement is to cooperate to plan, perform, analyze and report controlled clinical trials in ALS, with the goal of improving treatment for patients with ALS. The concept we had was that a large group could rapidly execute high quality pivotal trials in ALS and provide a mechanism to test more therapies. Critical to the success of the consortium is close collaboration with many basic scientists who study the causes of the disease and who have various models for screening compounds. The group has developed several different approaches to testing therapies depending on the stage of drug development. We have established intra- and inter-rater reliability across the centers for muscle strength and pulmonary measures, and motor unit number estimates. We continue to explore other measurements that might be useful in this disease. The NEALS organization decided from the onset to be very inclusive; anyone wishing to be involved can become a member. The executive committee has two co-chairs, who are elected every six years, and two elected site investigators elected for three-year terms. The scientific advisory committee and statistical consultants also participate on the executive committee. We created a number of working groups including members interested in clinical trial design, biomarkers, and other collaborative research projects.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.030
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.032
GPT teacher head0.258
Teacher spread0.226 · 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; both teacher heads agree on what is shown here.

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

Citations2
Published2004
Admission routes1
Has abstractyes

Explore more

Same venueAmyotrophic Lateral Sclerosis and Other Motor Neuron DisordersSame topicAmyotrophic Lateral Sclerosis ResearchFrench-language works237,207