MétaCan
Menu
Back to cohort
Record W2983019504 · doi:10.7554/elife.16764.032

Author response: Norrin/Frizzled4 signalling in the preneoplastic niche blocks medulloblastoma initiation

2016· peer-review· en· W2983019504 on OpenAlexaff
Erin A. Bassett, Nicholas Tokarew, Ema A Allemano, Chantal Mazerolle, Katy Morin, Alan J. Mears, Brian McNeill, Randy Ringuette, Charles Campbell, Sheila Smiley, Nenad T. Pokrajac, Adrian M. Dubuc, Vijay Ramaswamy, Paul A. Northcott, Marc Remke, Philippe P. Monnier, David Potter, Kim Paes, Laura Kirkpatrick, Kenneth Coker, Dennis S. Rice, Carol Perez‐Iratxeta, Michael D. Taylor, Valerie A. Wallace

Bibliographic record

Venuenot available
Typepeer-review
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHedgehog Signaling Pathway Studies
Canadian institutionsUniversity of TorontoHospital for Sick ChildrenUniversity of OttawaUniversity Health NetworkOttawa Hospital
Fundersnot available
KeywordsMedulloblastomaSignallingNicheBiologyComputational biologyCell biologyNeuroscienceGeneticsEcology

Abstract

fetched live from OpenAlex

The earliest steps of tumor initiation in the cerebellum are regulated by critical interactions between pre-tumor cells and stromal cells, which can be manipulated by targeting the Norrin/Frizzled4 signaling axis.

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)0.003
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.538
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
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 head0.039
GPT teacher head0.323
Teacher spread0.284 · 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 designNot applicable
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

Citations0
Published2016
Admission routes1
Has abstractyes

Explore more

Same topicHedgehog Signaling Pathway StudiesFrench-language works237,207