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Record W2756504639 · doi:10.21037/jtd.2017.09.34

Essential signaling in NF2 loss-related tumours: the therapeutic potential of CRL4DCAF1 and mTOR combined inhibition

2017· letter· en· W2756504639 on OpenAlexafffund
Helena J. Janse van Rensburg, Xiaolong Yang

Bibliographic record

VenueJournal of Thoracic Disease · 2017
Typeletter
Languageen
FieldMedicine
TopicNeurofibromatosis and Schwannoma Cases
Canadian institutionsQueen's University
FundersCanadian Institutes of Health ResearchCure Brain Cancer Foundation
KeywordsNeurofibromatosis type 2MedicineRadiation therapyCancer researchNeurofibromatosisSchwannomaSomatic cellGene mutationGermline mutationOncologyPathologyMutationBioinformaticsInternal medicineGeneGeneticsBiology

Abstract

fetched live from OpenAlex

Neurofibromatosis 2 ( NF2 ) was first identified as the tumor suppressor gene mutated in NF2 hereditary cancer syndrome (1). In this syndrome, patients develop multiple tumors of the nervous system including schwannomas, meningiomas and ependymomas that often require treatment with surgery or radiotherapy. While inherited mutations in NF2 leading to NF2 syndrome are relatively uncommon (with an incidence of approximately 1 in 25,000), somatic NF2 mutations are also observed in sporadic tumors (2). Specifically, NF2 gene inactivation has been reported in a significant proportion of sporadic meningiomas, vestibular schwannomas and malignant mesotheliomas (3-6).

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0030.003
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 head0.017
GPT teacher head0.299
Teacher spread0.283 · 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 designBench or experimental
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

Citations8
Published2017
Admission routes2
Has abstractyes

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