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Record W4387526337 · doi:10.1080/24745332.2023.2254283

Canadian Thoracic Society Position Statement on Climate Change and Choice of Inhalers for Patients with Respiratory Disease

2023· article· en· W4387526337 on OpenAlexaffabout
Samir Gupta, Simon Couillard, Geneviève C. Digby, Sze Man Tse, Samantha Green, Raymond Aceron, Chris Carlsten, Jill Hubick, Erika Penz

Bibliographic record

VenueCanadian Journal of Respiratory Critical Care and Sleep Medicine · 2023
Typearticle
Languageen
FieldMedicine
TopicInhalation and Respiratory Drug Delivery
Canadian institutionsThe Lung Association SaskatchewanUniversity of British ColumbiaUniversity of SaskatchewanUniversity of AlbertaUniversité de MontréalUniversité de SherbrookeCentre Hospitalier Universitaire Sainte-JustineQueen's UniversityUniversity of TorontoSt. Michael's Hospital
Fundersnot available
KeywordsPosition statementStatement (logic)Position (finance)MedicineRespiratory systemDiseaseInhalerClimate changeIntensive care medicinePolitical scienceAsthmaInternal medicineBusinessFamily medicine

Abstract

fetched live from OpenAlex

Inhalers contribute to climate change, with metered dose inhalers (MDIs) currently accounting for the greatest greenhouse gas emissions among all inhalers.Shared decision making with patients, inco...

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)0.012
metaresearch head score (Gemma)0.031
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: Commentary · Consensus signal: Commentary
Teacher disagreement score0.220
Threshold uncertainty score0.442

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.031
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0020.004
Science and technology studies0.0060.003
Scholarly communication0.0050.002
Open science0.0050.003
Research integrity0.0160.020
Insufficient payload (model declined to judge)0.0180.007

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 head0.055
GPT teacher head0.339
Teacher spread0.284 · 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
GenreCommentary

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

Citations24
Published2023
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Journal of Respiratory Critical Care and Sleep MedicineSame topicInhalation and Respiratory Drug DeliveryFrench-language works237,207