MétaCan
Menu
Back to cohort
Record W2765199703 · doi:10.1016/j.ccell.2017.09.014

H3.3K27M Cooperates with Trp53 Loss and PDGFRA Gain in Mouse Embryonic Neural Progenitor Cells to Induce Invasive High-Grade Gliomas

2017· article· en· W2765199703 on OpenAlexafffund
Manav Pathania, Nicolas Jay, Nicola Maestro, Ashot S. Harutyunyan, Justyna Nitarska, Pirasteh Pahlavan, Stephen Henderson, Leonie G. Mikael, Angela Richard‐Londt, Ying Zhang, Joana R. Costa, Steven Hébert, Sima Khazaei, Nisreen Ibrahim, Javier Herrero, Steffen Albrecht, Robin Ketteler, Sebastian Brandner, Claudia L. Kleinman, Nada Jabado, Paolo Salomoni

Bibliographic record

VenueCancer Cell · 2017
Typearticle
Languageen
FieldMedicine
TopicGlioma Diagnosis and Treatment
Canadian institutionsJewish General HospitalMcGill University
FundersH2020 European Research CouncilNational Cancer InstituteCanadian Institutes of Health ResearchBiomedical Research CouncilMedical Research CouncilFonds de Recherche du Québec - SantéBrain Tumour Charity
KeywordsPDGFRABiologyCancer researchATRXOLIG2GliomaSomatic cellEmbryonic stem cellGene knockdownMutationStromal cellGeneticsCell cultureGeneCentral nervous system

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.000
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.019
GPT teacher head0.272
Teacher spread0.253 · 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

Citations270
Published2017
Admission routes2
Has abstractno

Explore more

Same venueCancer CellSame topicGlioma Diagnosis and TreatmentFrench-language works237,207