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Record W4361000865 · doi:10.26443/msurj.v18i1.189

At Once Friends and Foes

2023· article· en· W4361000865 on OpenAlexaff
Angela Nelson

Bibliographic record

VenueMcGill Science Undergraduate Research Journal · 2023
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmune cells in cancer
Canadian institutionsMcGill University
Fundersnot available
KeywordsMycobacterium tuberculosisImmune systemImmunologyTuberculosisMyeloid-derived Suppressor CellInnate immune systemDiseaseSuppressorMedicineMyeloidBiologyCancer researchCancerPathology

Abstract

fetched live from OpenAlex

Mycobacterium tuberculosis (Mtb) is the causative agent of human tuberculosis (TB) disease. In chronic infections such as TB, consistent pro-inflammatory signalling promotes the generation of myeloid-derived suppressor cells (MDSCs). MDSCs are innate immune cells that are further divided into polymorphonuclear (PMN-MDSC) and monocytic (M-MDSC) subtypes on the basis of their morphology. These cells exert immunosuppressive effects on other immune cell types, thereby protecting the integrity of the lung tissue from damage caused by dysregulated Mtb. However, this comes at the expense of containing the Mtb infection. MDSCs’ unique double-edged role makes them an attractive target for host-directed TB therapeutics. This review aims to summarize current knowledge on the role of MDSCs in TB.

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)0.007
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.543
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0060.004
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.002

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 head0.072
GPT teacher head0.382
Teacher spread0.310 · 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 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
Published2023
Admission routes1
Has abstractyes

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