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Record W1482997191 · doi:10.1002/9780470035399.ch4

Bacterial Infections of the Lung in Normal and Immunodeficient Patients

2006· article· en· W1482997191 on OpenAlexaff
David P. Speert

Bibliographic record

VenueNovartis Foundation symposium · 2006
Typearticle
Languageen
FieldMedicine
TopicPneumonia and Respiratory Infections
Canadian institutionsChild and Family Research Institute
Fundersnot available
KeywordsImmunologyStreptococcus pneumoniaeBiologyMicrobiologyInnate immune systemBacterial pneumoniaPneumoniaRespiratory tractLungImmune systemRespiratory systemMedicineAntibiotics

Abstract

fetched live from OpenAlex

The lung is exposed to enormous quantities of air and to potentially infectious agents, but serious infections rarely occur, a testament to the extraordinary natural defences of the respiratory tract. The most common causes of bacterial lung infections in normal hosts include Streptococcus pneumoniae, Haemophilus species, Staphylococcus aureus and Mycobacterium tuberculosis. In compromised hosts, the bacterial causes of pneumonia are much broader, including species not usually considered of high virulence in humans. Indeed infection with one of these unusual bacterial species demands a search for an immunocompromising condition. Normal defences of the respiratory tract include non-specific physical factors (the 'mucociliary escalator'), and innate factors, including defensins, lysozyme and phagocytic cells (polymorphonuclear leukocytes, pulmonary alveolar macrophages and dendritic cells). Antibacterial defences are enhanced by opsonins, including those intrinsically present (surfactant and complement components) and induced immunoglobulins. Immunocompromising conditions, in which bacterial lung infections frequently occur, include (but are not limited to) hypogammaglobulinaemia, chronic granulomatous disease and primary ciliary dyskinesia. Each of these conditions illustrates the essential role of the disabled element of the innate and adaptive immune system in maintaining sterility of the lower respiratory tract.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.157
Threshold uncertainty score0.221

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 head0.006
GPT teacher head0.235
Teacher spread0.229 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations17
Published2006
Admission routes1
Has abstractyes

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