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Record W2900605936 · doi:10.1016/j.jiph.2018.10.014

Novel understandings of host cell mechanisms involved in chronic lung infection: Pseudomonas aeruginosa in the cystic fibrotic lung

2018· review· en· W2900605936 on OpenAlexaff
Peter Anto Johnson

Bibliographic record

VenueJournal of Infection and Public Health · 2018
Typereview
Languageen
FieldMedicine
TopicCystic Fibrosis Research Advances
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPseudomonas aeruginosaCystic fibrosisLungChronic infectionBiofilmMedicineMicrobiologyQuorum sensingLung infectionAirwayRespiratory systemImmunologyBiologyBacteriaImmune systemInternal medicineGenetics

Abstract

fetched live from OpenAlex

As one of the most debilitating and underdiagnosed hereditary conditions across the globe, cystic fibrosis requires intensive support from the healthcare system - particularly due to the increased susceptibility to chronic infection and resulting respiratory failure which can rapidly lead to death. In turn, the prevalence and action of a certain strain of bacterium - Pseudomonas aeruginosa - has gained a great deal of interest. Life-threatening chronic infections by P. aeruginosa have been shown to involve biofilm formation, proliferation and the release of quorum-sensing signaling molecules. Understanding the mechanism cascade by which this strain attacks cells within the respiratory epithelium, most notably airway epithelial cells, could offer insight into the pathway and components, which are attractive targets for therapeutic interventions.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.820
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0020.002
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 head0.078
GPT teacher head0.386
Teacher spread0.308 · 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 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

Citations8
Published2018
Admission routes1
Has abstractyes

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