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TDP‐43 and FUS/TLS: sending a complex message about messenger RNA in amyotrophic lateral sclerosis?

2011· review· en· W1787579022 on OpenAlexafffund
Michael J. Strong, Kathryn Volkening

Bibliographic record

VenueFEBS Journal · 2011
Typereview
Languageen
FieldMedicine
TopicAmyotrophic Lateral Sclerosis Research
Canadian institutionsWestern University
FundersCanadian Institutes of Health Research
KeywordsAmyotrophic lateral sclerosisRNAMessenger RNABiologyTranscription (linguistics)Translation (biology)Cell biologyGeneGeneticsMedicinePathology

Abstract

fetched live from OpenAlex

TAR DNA binding protein of 43 kDa (TDP-43) and fused in sarcoma/translocated in liposarcoma (FUS/TLS) have recently been linked to the pathology of amyotrophic lateral sclerosis (ALS). These proteins share many common features that include interaction with either DNA or RNA, participation in the formation of RNP complexes, the formation of pathological aggregates in degenerating motor neurons in ALS, and the ability to impact the RNA metabolism pathway at multiple levels from transcription to translation. Coupled with the observation that mutations in either TDP-43 or FUS/TLS are associated with ALS, this provides further support for the integral role of altered RNA metabolism in ALS.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.970
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0030.000

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 head0.199
GPT teacher head0.378
Teacher spread0.179 · 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 designOther design
Domainnot available
GenreReview

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

Citations28
Published2011
Admission routes2
Has abstractyes

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