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Record W2143584019 · doi:10.4187/aarc0427

Cystic Fibrosis: Pathogenesis and Future Treatment Strategies

2009· review· en· W2143584019 on OpenAlex

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.

Bibliographic record

VenueRespiratory Care · 2009
Typereview
Languageen
FieldMedicine
TopicCystic Fibrosis Research Advances
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsCystic fibrosisMedicineDiseasePathogenesisCystic fibrosis transmembrane conductance regulatorPathophysiologyFibrosisLungInflammationBioinformaticsIntensive care medicineImmunologyPathologyInternal medicine

Abstract

fetched live from OpenAlex

Since the detection of the underlying gene defect, our knowledge of how the genetic mutations in cystic fibrosis cause lung disease has increased substantially, but we still lack a complete understanding of some of the pieces in the puzzle. Nevertheless, the information gained has led to new therapeutic approaches that address key factors of cystic fibrosis pathophysiology. Past therapeutic successes were largely based on targeting the consequences of the cystic fibrosis transmembrane regulator dysfunction, such as phlegm retention, infection, and inflammation, but new therapies may be able to address the underlying abnormality rather than its downstream effects. The efficacy of these treatments still needs to be established, but early studies look promising for several compounds. This review summarizes our current understanding of the pathophysiology and treatment of cystic fibrosis lung disease.

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 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 score0.984
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
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 head0.038
GPT teacher head0.366
Teacher spread0.328 · 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