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Record W2139970241 · doi:10.1186/1753-6561-7-s2-p21

The role of Met, Src and Stat3 in basal-like breast cancer invasion

2013· article· en· W2139970241 on OpenAlexaff
Esther Carefoot, L Raptis, P.A. Greer, B E Elliott

Bibliographic record

VenueBMC Proceedings · 2013
Typearticle
Languageen
FieldMedicine
TopicLiver physiology and pathology
Canadian institutionsQueen's University
Fundersnot available
KeywordsBasal (medicine)MedicineBreast cancerSTAT3Proto-oncogene tyrosine-protein kinase SrcKinaseOncologyCancerInternal medicineCancer researchDiseasePathologyPhosphorylationBiologyReceptorCell biology

Abstract

fetched live from OpenAlex

Background The basal-like subtype of human breast cancers has no clinically defined marker profile. Recent studies have shown that Met as well as certain Src family kinases are over-expressed in basal-like breast cancers and correlate with disease progression and poor prognosis. Our group has also demonstrated a potential regulatory role of Stat3 on Met activation or turnover, adding to the previously identified roles of Stat3.

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 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 score0.001
Threshold uncertainty score0.005

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 communication0.0010.000
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 head0.011
GPT teacher head0.240
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

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

Citations0
Published2013
Admission routes1
Has abstractyes

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Same venueBMC ProceedingsSame topicLiver physiology and pathologyFrench-language works237,207