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Record W7135035636 · doi:10.4187/respcare.09540796

Respiratory Care and Cystic Fibrosis

2009· article· en· W7135035636 on OpenAlexaboutno aff
David E. Geller, Bruce K Rubin

Bibliographic record

VenueRespiratory Care · 2009
Typearticle
Languageen
FieldMedicine
TopicCystic Fibrosis Research Advances
Canadian institutionsnot available
Fundersnot available
KeywordsCystic fibrosisLung diseaseRespiratory careDiseaseLungRespiratory systemRespiratory disease

Abstract

fetched live from OpenAlex

The 43rd Respiratory Care Journal Conference brought together experts from the United States, Canada, and the United Kingdom to review the art and science of cystic fibrosis (CF). This is the first time that CF was the topic for the Journal Conference, and it came about 6 decades after the disease was named, and 20 years after the gene was discovered on chromosome 7. Though CF is a multisystem disease, it is the chronic and progressive lung disease that causes most of the morbidity and mortality. The participants at the conference reviewed the epidemiology, pathophysiology, treatment, and novel therapies in the pipeline for CF lung disease. They also emphasized the many crucial roles that the respiratory therapist plays in CF, including diagnostic testing, aerosol therapies, airway clearance, infection control, patient and peer education, and patient advocacy. The May and June 2009 issues of the Journal reflect how diligently the participants worked to provide up-to-date reviews and lively discussions of these topics.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.029
Threshold uncertainty score0.096

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0040.003
Open science0.0010.002
Research integrity0.0050.005
Insufficient payload (model declined to judge)0.0290.003

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 head0.018
GPT teacher head0.318
Teacher spread0.300 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2009
Admission routes1
Has abstractyes

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