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Record W2215255387 · doi:10.1093/neuonc/nov290

Response to “Insulin-like growth factor 1 receptor signaling via Akt: a general therapeutic target in neurocutaneous melanocytosis?”

2015· letter· en· W2215255387 on OpenAlexaff
Yibing Ruan, Aru Narendran

Bibliographic record

VenueNeuro-Oncology · 2015
Typeletter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPI3K/AKT/mTOR signaling in cancer
Canadian institutionsUniversity of CalgaryAlberta Children's Hospital
FundersMorgan Family FoundationSilicon Valley Community Foundation
KeywordsProtein kinase BInsulin receptorInsulin-like growth factorCancer researchGrowth factorSignal transductionInsulinReceptorMedicineBiologyCell biologyInternal medicineInsulin resistance

Abstract

fetched live from OpenAlex

those seen in skin fibroblasts. However, we could not detect any significant difference in expression levels compared with normal epidermal melanocytes isolated from newborn foreskin (Fig. No significant difference was observed in IGFBP3 expression between NRAS and BRAF mutated cells (Fig. These data indicate that lower IGFBP expression could be a general characteristic of cells of melanocytic lineage that depend on IGF signaling for their survival, and not a function of their oncogenic status. Consistent with this idea, the IGF1R blocker AEW-541 could reduce cell viability in NRAS and BRAF mutant cells, albeit to different degrees (Fig.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.483
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0030.003
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 head0.024
GPT teacher head0.284
Teacher spread0.261 · 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 designNot applicable
Domainnot available
GenreCommentary

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
Published2015
Admission routes1
Has abstractyes

Explore more

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