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Record W2080779226 · doi:10.1371/journal.ppat.1002551

Sleeping with the Enemy: How Intracellular Pathogens Cope with a Macrophage Lifestyle

2012· article· en· W2080779226 on OpenAlex
Emily P. Thi, Ulrike Lambertz, Neil E. Reiner

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

VenuePLoS Pathogens · 2012
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicVibrio bacteria research studies
Canadian institutionsUniversity of British Columbia HospitalUniversity of British ColumbiaVancouver Coastal Health Research Institute
FundersCanadian Institutes of Health Research
KeywordsEffectorIntracellularMacrophageBiologyInnate immune systemIntracellular parasiteImmune systemImmunityAcquired immune systemCell biologyImmunologyGenetics

Abstract

fetched live from OpenAlex

Intracellular pathogens are a major cause of global morbidity and mortality. While this alone establishes their medical importance, they are also a focus of special interest because of their unique lifestyles. Many of these organisms have evolved to reside within the hostile environment of macrophages. Given that these innate immune effector cells are normally programmed to destroy ingested prey and promote the development of adaptive immunity, this is one of the ultimate paradoxes in the study of host–pathogen interactions. The success of these microbes is dependent on diverse strategies including the disruption of macrophage cell regulation, the ability to nullify macrophage microbicidal effector mechanisms, and other special adaptations to an intracellular lifestyle. Here, we review a series of well established survival paradigms that have emerged that illustrate this behaviour.

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 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 score0.084
Threshold uncertainty score0.725

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)0.0000.000

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 head0.221
Teacher spread0.209 · 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