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Restoring Pulmonary and Sleep Services as the COVID-19 Pandemic Lessens. From an Association of Pulmonary, Critical Care, and Sleep Division Directors and American Thoracic Society–coordinated Task Force

2020· article· en· W3042980827 on OpenAlexaff
Kevin C. Wilson, David A. Kaminsky, Gaëtane Michaud, Sunil Sharma, Linda Nici, Rodney J. Folz, Igor Barjaktarević, Nirav R. Bhakta, George Z. Cheng, Geoffrey Chupp, Adam G. Cole, Anne E. Dixon, James H. Finigan, Brian L. Graham, Teal S. Hallstrand, Jeffrey M Haynes, John Hankinson, Neil R. MacIntyre, Jess Mandel, Kevin F. McCarthy, Meredith C. McCormack, Susheel P. Patil, Margaret Rosenfeld, Michal Šenitko, Sonali Sethi, Erik R. Swenson, Sanja Stanojevic, Mihaela Teodorescu, Daniel J. Weiner, Renda Soylemez Wiener, Charles A. Powell

Bibliographic record

VenueAnnals of the American Thoracic Society · 2020
Typearticle
Languageen
FieldMedicine
TopicCOVID-19 and healthcare impacts
Canadian institutionsHospital for Sick ChildrenUniversity of TorontoUniversity of Saskatchewan
FundersNational Center for Advancing Translational Sciences
KeywordsMedicinePandemicCoronavirus disease 2019 (COVID-19)Task force2019-20 coronavirus outbreakSleep (system call)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Pulmonary medicineAssociation (psychology)Task (project management)Section (typography)Intensive care medicineFamily medicineInternal medicineOutbreakVirologyManagementDiseaseAdvertisingPublic administration

Abstract

fetched live from OpenAlex

Abstract Background In March 2020, many elective medical services were canceled in response to the coronavirus disease 2019 (COVID-19) pandemic. The daily case rate is now declining in many states and there is a need for guidance about the resumption of elective clinical services for patients with lung disease or sleep conditions. Methods Volunteers were solicited from the Association of Pulmonary, Critical Care, and Sleep Division Directors and American Thoracic Society. Working groups developed plans by discussion and consensus for resuming elective services in pulmonary and sleep-medicine clinics, pulmonary function testing laboratories, bronchoscopy and procedure suites, polysomnography laboratories, and pulmonary rehabilitation facilities. Results The community new case rate should be consistently low or have a downward trajectory for at least 14 days before resuming elective clinical services. In addition, institutions should have an operational strategy that consists of patient prioritization, screening, diagnostic testing, physical distancing, infection control, and follow-up surveillance. The goals are to protect patients and staff from exposure to the virus, account for limitations in staff, equipment, and space that are essential for the care of patients with COVID-19, and provide access to care for patients with acute and chronic conditions. Conclusions Transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a dynamic process and, therefore, it is likely that the prevalence of COVID-19 in the community will wax and wane. This will impact an institution’s mitigation needs. Operating procedures should be frequently reassessed and modified as needed. The suggestions provided are those of the authors and do not represent official positions of the Association of Pulmonary, Critical Care, and Sleep Division Directors or the American Thoracic Society.

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)0.008
metaresearch head score (Gemma)0.010
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 score0.040
Threshold uncertainty score0.079

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0040.001
Scholarly communication0.0040.002
Open science0.0020.006
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0100.002

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 head0.112
GPT teacher head0.453
Teacher spread0.341 · 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

Citations53
Published2020
Admission routes1
Has abstractyes

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