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Record W4248636805 · doi:10.1136/dtb.2008.05.0013

Switching to CFC-free beclometasone for asthma

2008· article· en· W4248636805 on OpenAlexaboutno aff

Bibliographic record

VenueDrug and Therapeutics Bulletin · 2008
Typearticle
Languageen
FieldMedicine
TopicInhalation and Respiratory Drug Delivery
Canadian institutionsnot available
Fundersnot available
KeywordsInhalerMedicineAsthmaNebulizerChlorofluorocarbonPropellantMontreal ProtocolOzoneAnesthesiaOzone layerChemistryInternal medicine

Abstract

fetched live from OpenAlex

Chlorofluorocarbon (CFC) compounds, the traditional propellants in aerosol metered-dose inhalers (MDIs), damage the ozone layer in the atmosphere. Following adoption of the Montreal Protocol on Substances that Deplete the Ozone Layer almost 20 years ago, the UK Government produced a transition strategy to enable CFC-containing MDIs to be phased out as quickly as possible.(1, 2) Hydrofluoroalkanes (HFAs) are now being used as propellants in most MDIs (i.e. CFC-free inhalers). However, there have been particular difficulties in developing CFC-free beclometasone inhalers, as this drug dissolves in the new propellant. There are now two CFC-free beclometasone inhalers available in the UK - Qvar (Teva) and black triangle [see text for formula]Clenil Modulite (Trinity-Chiesi), both licensed for asthma. CFC-containing beclometasone MDIs will become unavailable as stocks run out (within the next year). Here we discuss the issues around switching to the CFC-free beclometasone inhalers.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.629
Threshold uncertainty score0.452

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 head0.028
GPT teacher head0.270
Teacher spread0.242 · 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
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

Citations8
Published2008
Admission routes1
Has abstractyes

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