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Record W2154218908 · doi:10.1093/bfgp/4.3.241

Susceptibility and resistance to pneumococcal disease in mice

2005· review· en· W2154218908 on OpenAlexaff
Aras Kadioglu, Peter W. Andrew

Bibliographic record

VenueBriefings in Functional Genomics and Proteomics · 2005
Typereview
Languageen
FieldMedicine
TopicInfluenza Virus Research Studies
Canadian institutionsInstitute of Infection and Immunity
Fundersnot available
KeywordsBiologyDiseaseStreptococcus pneumoniaePathogenImmunologyPneumococcal diseasePneumococcal infectionsGenetic predispositionGeneMicrobiologyGeneticsBacteriaMedicinePathology

Abstract

fetched live from OpenAlex

Although pneumococcus is a major pathogen of humans and, every year, the bacterium causes illness and death in millions of individuals, the genetic basis of susceptibility to the bacterium is unknown. Previous attempts to identify the gene explaining differing susceptibility to pneumococcal disease in humans have been without significant success. In order to develop new hypotheses that can be tested in humans, significant efforts have been made using mouse models of infection and disease. Indeed, the majority of the information so far obtained on pneumococcal disease in vivo has come from mouse studies. Mice differ in their response to pneumococcal disease, however, and the genetic basis of susceptibility to infection is unknown. This review summarises the current knowledge of mouse susceptibility and resistance to pneumococcal infection.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.977
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.093
GPT teacher head0.364
Teacher spread0.271 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreReview

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

Citations41
Published2005
Admission routes1
Has abstractyes

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