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2021· article· en· W4200163983 on OpenAlexaboutno aff

Bibliographic record

VenueASAIO Journal · 2021
Typearticle
Languageen
FieldEngineering
TopicHuman auditory perception and evaluation
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science

Abstract

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PD Dr. med. habil. Daniel Kretzschmar is head of the Department of Angiology at the University Hospital of Jena. From 1999 to 2006 he studied medicine at the University of Leipzig, Germany; in New York City,USA; Houston, Texas, USA; Toronto, Canada; and Bern, Switzerland. He received his doctorate in 2008 for his research on the influence of transgenic expression of the transcription factor LXR- on atherosclerosis. The fellowship in internal medicine was started in 2007 at the University Hospital of Jena, Germany. After finishing, he achieved the specialization in internal medicine, cardiology, and angiology. His post-doctoral thesis was entitled development, design and evaluation of a percutaneous, pulsatile, right ventricular assist device-PERKAT RV and completed in 2020. His main interest of research focuses on interventional cardiology and angiology. He is member of the German and European society of cardiology and a member of the advisory board of the German society of angiology.Prof. Dr. med. Dr. disc. pol. Markus W. Ferrari is director of the Clinic Internal Medicine 1 of the municipal hospitals Wiesbaden (Helios Dr-Horst-Schmidt-Kliniken) since 2013. From 1986 to 1992, he studied medicine, sports, pedagogic, and social science at Georg-August-University, Goettingen, Germany. The dissertation of his MD-thesis on the “experimental evaluation of a mobile cardio-pulmonary-support system in an animal model” in 1993 was followed by the presentation of his PhD-thesis on the “influence of physical exercise programs on the validity of isokinetic trunk muscle functions” at the Faculty of Social Science and Sports one year later. After his fellowship in internal medicine at the University Hospital Goettingen and Jena, he achieved the specialization in internal medicine and cardiology. Having accomplished a research fellowship at the department of experimental cardiovascular surgery of the Texas Heart Institute, Houston, Texas, USA, in 2001, he received the specialization in internal intensive care medicine in 2003. In the following year, he became associate professor of internal medicine at the Medical Faculty of the University Jena. The dissertation of his post-doctoral thesis was entitled “Development of a trans-vascular aortic valve replacement with a self-expanding stent”. In 2006, he was appointed as Co-Director of the Department of Internal Medicine 1. He was appointed by the Friedrich-Schiller-University to tenured professorship in 2011. Markus Ferrari is author and coauthor of more than 180 publications and currently holds 48 granted patents. His major interest of research focuses on interventional cardiology, heart failure, and structural heart disease. In addition, he is reviewer and member of the editorial board of numerous journals in cardiovascular medicine, and editor of the German edition of Cardiology Up2date.

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)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.385
Threshold uncertainty score0.549

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0040.002
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.6150.503

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 head0.018
GPT teacher head0.235
Teacher spread0.217 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

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".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

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