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Record W4205409929 · doi:10.1055/a-1555-8380

Gemeinsam die digitale Zukunft gestalten

2021· article· de· W4205409929 on OpenAlexaff
Uta Butt, Maximilian Wollsching-Strobel, Sören Dohmen, A. Freitag, Maximilian Frisch, Stephan Füssel, Péter Kardos, U. Kümmel, Patrick Stais, Martin Wilkens, H. Worth, C.-P. Criée, Wolfram Windisch

Bibliographic record

VenuePneumologie · 2021
Typearticle
Languagede
FieldBusiness, Management and Accounting
TopicDigital Innovation in Industries
Canadian institutionsAlpha Technologies (Canada)
Fundersnot available
KeywordsArt

Abstract

fetched live from OpenAlex

Vertreter*innen der Deutschen Atemwegsliga e. V., des Bundesverbandes der Pneumologen (BdP), des Verbandes Pneumologischer Kliniken e. V. (VPK), von Alpha1-Deutschland e. V., der AG Lungensport in Deutschland e. V. und der Arbeitsgruppe eHealth des Fördervereins der Deutschen Atemwegsliga e. V. diskutierten im April 2021 im Rahmen eines Online-Workshops die Vor- und Nachteile telemedizinischer Konzepte und der Durchführung von Videosprechstunden. Das Angebot von Videosprechstunden war während der COVID-19-Pandemie stark gestiegen. In vorangegangenen Workshops hatte sich die Deutsche Atemwegsliga e. V. bereits mit den Chancen und Herausforderungen der Einführung digitaler Hilfsmittel, dem gesundheitspolitischen Rahmen sowie Anwendungsmöglichkeiten digitaler Gesundheitsanwendungen (DiGA) im Fachgebiet Pneumologie auseinandergesetzt [ 1 ]. Publication History Article published online: 15 September 2021 © 2021. Thieme. All rights reserved. Georg Thieme Verlag KG Rüdigerstraße 14, 70469 Stuttgart, Germany

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)0.002
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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.077
Threshold uncertainty score0.257

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.002
Scholarly communication0.0100.010
Open science0.0010.007
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0770.024

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 head0.058
GPT teacher head0.255
Teacher spread0.197 · 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
GenreOther

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".

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Citations1
Published2021
Admission routes1
Has abstractyes

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