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Record W3021919887 · doi:10.1080/24745332.2020.1754027

Addressing therapeutic questions to help Canadian physicians optimize asthma management for their patients during the COVID-19 pandemic

2020· article· en· W3021919887 on OpenAlexaffabout
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

VenueCanadian Journal of Respiratory Critical Care and Sleep Medicine · 2020
Typearticle
Languageen
FieldMedicine
TopicRespiratory Support and Mechanisms
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 MontréalWestern UniversityUniversity of TorontoUniversité LavalBC Children's HospitalUniversity of British ColumbiaCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsPandemicCoronavirus disease 2019 (COVID-19)Position statement2019-20 coronavirus outbreakAsthmaSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Statement (logic)MedicineAsthma managementPosition (finance)Family medicineIntensive care medicineMedical emergencyPolitical scienceBusinessVirologyPathologyInternal medicine

Abstract

fetched live from OpenAlex

This position statement aims to provide rapid guidance for Canadian physicians treating patients with asthma during the COVID-19 pandemic. The recommendations are informed by a very limited body of...

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)0.010
metaresearch head score (Gemma)0.049
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: Empirical · Consensus signal: none
Teacher disagreement score0.494
Threshold uncertainty score0.982

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.049
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0020.001
Science and technology studies0.0130.005
Scholarly communication0.0110.006
Open science0.0030.006
Research integrity0.0170.021
Insufficient payload (model declined to judge)0.0350.015

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 head0.098
GPT teacher head0.342
Teacher spread0.244 · 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
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

Citations18
Published2020
Admission routes2
Has abstractyes

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Same venueCanadian Journal of Respiratory Critical Care and Sleep MedicineSame topicRespiratory Support and MechanismsFrench-language works237,207