MétaCan
Menu
Back to cohort
Record W2081783238 · doi:10.1126/scisignal.2004113

BIM, PUMA, and the Achilles’ Heel of Oncogene Addiction

2013· review· en· W2081783238 on OpenAlex
Anne Roulston, William J. Muller, Gordon C. Shore

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

VenueScience Signaling · 2013
Typereview
Languageen
FieldMedicine
TopicCAR-T cell therapy research
Canadian institutionsMcGill University
Fundersnot available
KeywordsOncogeneEpigeneticsPhenotypeBiologyCancer researchAddictionPumaCancerCRISPRMedicineNeuroscienceGeneticsApoptosisGeneCell cycle

Abstract

fetched live from OpenAlex

Cancer cells undergo extensive genetic and epigenetic rewiring to support the malignant phenotype, and yet cell survival and proliferation often remain dependent on one or a limited number of driver mutations. This is the concept of oncogene addiction, the elucidation of which has led to substantial progress in therapeutic interventions. However, because resistance mechanisms often emerge, explicating the pathways that connect therapeutic oncogene inactivation to the cell death machinery is critical to exploiting additional synthetic lethal opportunities.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.992
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.077
GPT teacher head0.388
Teacher spread0.311 · 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