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Record W2011420281 · doi:10.4161/cam.26728

Epithelial-mesenchymal transition and its regulators are major targets of triple-negative breast cancer

2013· article· en· W2011420281 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueCell Adhesion & Migration · 2013
Typearticle
Languageen
FieldMedicine
TopicCancer Cells and Metastasis
Canadian institutionsConcordia UniversityMcGill University
FundersCanadian Institutes of Health Research
KeywordsEpithelial–mesenchymal transitionTriple-negative breast cancerBreast cancerCancer researchMetastasisBreast cancer metastasisTransition (genetics)CancerOncologyMedicineInternal medicineBiologyCancer metastasisGene

Abstract

fetched live from OpenAlex

Triple negative breast cancers (TNBCs) represent a distinct subtype of breast cancers that are associated with early recurrence and an aggressive metastatic progression of the disease and consequently poor outcome. Recently, it was reported that c-Met growth factor receptor is overexpressed in around 52% of TNBCs. On the other hand, it is known that c-Met signaling pathways initiate the epithelial-mesenchymal transition (EMT) phenomenon, which is described as a crucial event during cancer metastasis. Herein, we discuss the association between c-Met and EMT in the TNBC group.

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 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 score0.133
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.012
GPT teacher head0.242
Teacher spread0.230 · 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