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Triaging Access to Critical Care Resources in Patients With Chronic Respiratory Diseases in the Event of a Major COVID-19 Surge
Samir Gupta, Jane Batt, Jean Bourbeau, Kenneth R. Chapman, Andrea S. Gershon, John Granton, Nathan Hambly, Paul Hernandez, Martin Kolb, Sanjay Mehta, Lisa Mielniczuk, Steeve Provencher, Anne L. Stephenson, John R. Swiston, D. Elizabeth Tullis, Nicholas T. Vozoris, Joshua Wald, Jason Weatherald, Mohit Bhutani
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
Bibliographic record
VenueCHEST Journal · 2020
Typeeditorial
Languageen
FieldHealth Professions
TopicDisaster Response and Management
Canadian institutionsUniversity of AlbertaUniversity of CalgaryUniversity of British ColumbiaUniversité LavalLondon Health Sciences CentreToronto General HospitalMcMaster UniversityInstitut universitaire de cardiologie et de pneumologie de QuébecSt. Joseph’s Healthcare HamiltonLibin Cardiovascular Institute of AlbertaUniversity Health NetworkHealth Sciences CentreSinai Health SystemUniversity of OttawaMcGill University Health CentreSt. Michael's HospitalSunnybrook Health Science CentreDalhousie UniversityWestern UniversityUniversity of Toronto
FundersActelion PharmaceuticalsJanssen PharmaceuticalsSchulich School of Medicine and DentistryFonds de Recherche du Québec - SantéSocial Sciences and Humanities Research Council of CanadaCanadian Institutes of Health ResearchInstitut universitaire de cardiologie et de pneumologie de Québec, Université LavalJohnson and JohnsonSchulich School of Medicine and Dentistry, Western UniversityUniversity of TorontoUniversity of AlbertaLung Health FoundationGlaxoSmithKlineUniversity of OttawaDalhousie UniversityEuropean Respiratory SocietyCanadian Thoracic SocietyMcGill University Health CentreLondon Health Sciences CentreRocheMcGill UniversityUniversité LavalSanofiUnited Therapeutics CorporationLung Association, Alberta and NWTCystic Fibrosis FoundationGilead SciencesBayerCystic Fibrosis CanadaMcMaster UniversityHeart and Stroke Foundation of CanadaToronto General Hospital Research Institute, University Health NetworkBoehringer IngelheimNovartis
KeywordsScopusPandemicSurge CapacityMedicineGovernment (linguistics)Life expectancyHealth careScarcityCoronavirus disease 2019 (COVID-19)Stewardship (theology)Economic shortageBusinessMEDLINEIntensive care medicineMedical emergencyDiseasePolitical scienceEconomic growthEnvironmental healthEconomicsPolitics
Abstract
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.
Full frame distilled prediction
Teacher imitationNot 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)0.001
metaresearch head score (Gemma)0.006
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: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.126
Threshold uncertainty score0.877
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 head0.068
GPT teacher head0.457
Teacher spread0.389 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itQuick stats
Citations14
Published2020
Admission routes2
Has abstractno