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Additional file 3 of PCSK9 facilitates melanoma pathogenesis via a network regulating tumor immunity

2024· other· en· W6958590883 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueFigshare · 2024
Typeother
Languageen
FieldComputer Science
TopicLibrary Collection Development and Digital Resources
Canadian institutionsMcMaster UniversityMontreal Clinical Research InstituteUniversity of GuelphSt. Joseph’s Healthcare Hamilton
Fundersnot available
KeywordsMelanomaPathogenesisExtracellularLipid raftReceptorSignal transductionMHC class IExtracellular vesicles

Abstract

fetched live from OpenAlex

Additional file 3: Figure S3. Characterization of DEGs relevant to PCSK9. (a) RNA-seq data for B16 EV, PCSK9, D374Y, and Q152H tumors (3 tumors per genotype) was used to generate DEGs using DESeq2 within the Galaxy platform (https://usegalaxy.org/). Heatmaps for the indicated DEGs are shown. (b) Network enrichment for D374Y DEGs. The network consists of 4 domains: MHC protein complex, receptor complex containing CD3 subunits (Cd3e and Cd3g) of T-cell receptor complex, membrane rafts and membrane microdomain, and collagen-containing extracellular matrix.

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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.984
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.9940.009

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 head0.019
GPT teacher head0.195
Teacher spread0.177 · 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