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Record W2322419699 · doi:10.5692/clinicalneurol.51.964

Pathomechanism and prevalence of sporadic inclusion body myositis (sIBM)

2011· article· en· W2322419699 on OpenAlexaff
Naoki Suzuki, M. Tateyama, Hitoshi Warita, Rumiko Izumi, Ichizo Nishino, Masashi Aoki

Bibliographic record

VenueRinsho Shinkeigaku · 2011
Typearticle
Languageen
FieldMedicine
TopicInflammatory Myopathies and Dermatomyositis
Canadian institutionsCentre for Movement Disorders
Fundersnot available
KeywordsEtiologyMyositisMedicineDiseaseInclusion body myositisMuscle diseaseRefractory (planetary science)PathologyBiology

Abstract

fetched live from OpenAlex

Sporadic inclusion body myositis (sIBM) is an intractable and progressive skeletal muscle disease of unknown cause and without effective treatment. The etiology of sIBM is still unknown, however genetic factors, aging, life styles, environmental factors may be involved. sIBM is generally refractory to current therapy, such as steroid or immunosuppressants. To elucidate the pathomechanism of sIBM is the most important way to make therapeutic approach. In this review we estimated the prevalence of sIBM in Japan and discuss the pathomechanism of sIBM.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.190
Threshold uncertainty score0.723

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.016
GPT teacher head0.224
Teacher spread0.208 · 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

Citations0
Published2011
Admission routes1
Has abstractyes

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