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Record W2296287591 · doi:10.3109/10428194.2016.1153089

STAT3 inhibitor has potent antitumor activity in B-lineage acute lymphoblastic leukemia cells overexpressing the high mobility group A1 (HMGA1)–STAT3 pathway

2016· letter· en· W2296287591 on OpenAlexaff
Amy Belton, Lingling Xian, Tait Huso, Michael Koo, Li Luo, James Turkson, Brent D. G. Page, Patrick T. Gunning, Guosheng Liu, David L. Huso, Linda Resar

Bibliographic record

VenueLeukemia & lymphoma/Leukemia and lymphoma · 2016
Typeletter
Languageen
FieldMedicine
TopicAcute Lymphoblastic Leukemia research
Canadian institutionsUniversity of Toronto
FundersNational Cancer Institute
KeywordsMalignancyCancer researchLymphoblastic LeukemiaMedicineAcute leukemiaCancerSTAT3LeukemiaImmunologyInternal medicineApoptosisBiology

Abstract

fetched live from OpenAlex

Despite dramatic improvements in treatment and survival, acute lymphoid malignancies remain the leading cause of death in children with cancer and a highly lethal malignancy in adults.[1] Acute lym...

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.118
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0050.003
Meta-epidemiology (broad)0.0060.002
Bibliometrics0.0020.002
Science and technology studies0.0020.005
Scholarly communication0.0020.002
Open science0.0030.003
Research integrity0.0060.004
Insufficient payload (model declined to judge)0.0000.001

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 head0.015
GPT teacher head0.242
Teacher spread0.227 · 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; both teacher heads agree on what is shown here.

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

Citations16
Published2016
Admission routes1
Has abstractyes

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