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Record W3037449580 · doi:10.1055/a-1193-9315

DGP-Empfehlungen zur pneumologischen Rehabilitation bei COVID-19

2020· article· de· W3037449580 on OpenAlexaff
R Glöckl, Heike Buhr-Schinner, Andreas Rembert Koczulla, R. Schipmann, Konrad Schultz, Marc Spielmanns, N. Stenzel, S. Dewey

Bibliographic record

VenuePneumologie · 2020
Typearticle
Languagede
FieldMedicine
TopicLong-Term Effects of COVID-19
Canadian institutionsSt. Peter's Hospital
Fundersnot available
KeywordsCoronavirus disease 2019 (COVID-19)2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)GynecologyMedicineRehabilitationVirologyPhysical therapyInternal medicine

Abstract

fetched live from OpenAlex

The German Respiratory Society (DGP) has commissioned Assembly 12 "Rehabilitation, Prevention and Tobacco Control" to develop recommendations for the implementation of pulmonary rehabilitation in COVID-19 patients. This position paper is based on the current state of knowledge, which develops daily. This position paper describes the health consequences in COVID-19 as well as the indications for pulmonary rehabilitation. Rehabilitative therapies in COVID-19 are already indicated on the ward or intensive care unit, continue as early pulmonary rehabilitation in the acute hospital and as pulmonary rehabilitation in pulmonary rehabilitation centers. The main focus of this position paper is to propose recommendations for the content-related implementation of a multimodal, interdisciplinary pulmonary rehabilitation in COVID-19 patients.

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)0.014
metaresearch head score (Gemma)0.016
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: none
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.075

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.016
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0030.003
Open science0.0020.007
Research integrity0.0050.006
Insufficient payload (model declined to judge)0.0170.008

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 head0.047
GPT teacher head0.342
Teacher spread0.295 · 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

Citations43
Published2020
Admission routes1
Has abstractyes

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