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Record W3031376796 · doi:10.1016/j.chest.2020.05.551

Key Highlights From the Canadian Thoracic Society Position Statement on the Optimization of Asthma Management During the Coronavirus Disease 2019 Pandemic

2020· editorial· en· W3031376796 on OpenAlexafffundabout
Christopher Licskai, Connie Yang, Francine M. Ducharme, Dhenuka Radhakrishnan, Delanya Podgers, Clare D. Ramsey, Tania Samanta, Andréanne Côté, Masoud Mahdavian, M. Diane Lougheed

Bibliographic record

VenueCHEST Journal · 2020
Typeeditorial
Languageen
FieldMedicine
TopicChronic Obstructive Pulmonary Disease (COPD) Research
Canadian institutionsQueen's UniversityRoyal Victoria Regional Health CentreNorth York General HospitalInstitut universitaire de cardiologie et de pneumologie de QuébecUniversity of ManitobaKingston General HospitalChildren's Hospital of Eastern OntarioKingston Health Sciences CentreUniversity of OttawaUniversité de MontréalUniversity of British ColumbiaWestern UniversityUniversity of TorontoUniversité LavalBC Children's HospitalCentre Hospitalier Universitaire Sainte-Justine
FundersQueen's UniversityCanadian Lung AssociationCanadian Institutes of Health ResearchCovis PharmaCanadian Thoracic SocietyUniversity of OttawaSanofiGlaxoSmithKlineGovernment of OntarioAstraZenecaTeva Pharmaceutical IndustriesNovartisAllerGenPfizer
KeywordsMedicinePandemicPosition statementCoronavirus disease 2019 (COVID-19)CoronavirusAsthma2019-20 coronavirus outbreakPosition (finance)Key (lock)DiseaseSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Statement (logic)Intensive care medicinePosition paperVirologyFamily medicinePathologyImmunologyInfectious disease (medical specialty)Computer security

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.017
metaresearch head score (Gemma)0.063
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: Editorial · Consensus signal: Editorial
Teacher disagreement score0.990
Threshold uncertainty score0.089

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.063
Meta-epidemiology (narrow)0.0050.002
Meta-epidemiology (broad)0.0060.005
Bibliometrics0.0050.003
Science and technology studies0.0060.004
Scholarly communication0.0150.006
Open science0.0060.003
Research integrity0.0370.047
Insufficient payload (model declined to judge)0.0180.012

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 head0.026
GPT teacher head0.315
Teacher spread0.289 · 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
GenreEditorial

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

Citations14
Published2020
Admission routes3
Has abstractno

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