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Record W3197225733

PK-4 - Complex Plasma Research on the International Space Station

2018· article· en· W3197225733 on OpenAlexaboutno aff
Hubertus M. Thomas, В. Е. Фортов, Markus H. Thoma, Mikhail Pustylnik, A. M. Lipaev, V. I. Molotkov, Alexander Usachev, A. V. Zobnin, О. Ф. Петров, M. Rubin‐Zuzic, Michael Kretschmer, V. Nosenko, Mierk Schwabe, T. Antonova, S. A. Khrapak

Bibliographic record

Venueelib (German Aerospace Center) · 2018
Typearticle
Languageen
FieldPhysics and Astronomy
TopicIonosphere and magnetosphere dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsInternational Space StationSpace researchSpace (punctuation)Computer scienceEngineeringAeronauticsAerospace engineering
DOInot available

Abstract

fetched live from OpenAlex

The International Space Station (ISS) is the outpost of mankind in low-Earth orbit, and has been permanently manned by three to six astronauts since the end of 2000. It is the world’s biggest international project yet, bringing together partners from Russia, America, Europe, Japan and Canada. It was built following a political decision after the Cold War and provides a platform for fundamental research in life and physical sciences, for Earth observation and astronomy. Recently it became the platform for preparing the next steps in the quest for longer deep-space manned missions to the Moon and Mars. PK-4 is an active laboratory for fundamental research in the field of complex plasmas and part of the European Columbus Module. The project is a bilateral European-Russian collaboration. Scientists from Europe, Russia and also other nations worldwide benefit from this project. They participate in experiments, the analysis of resulting data and contribute to theoretical and numerical modelling. Experiments with PK-4 are carried out in frequent campaigns on the ISS. In 2019 three such campaigns totalling 12 experiment days were performed, producing about 9 TB of high quality scientific data.

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 distilled prediction

Teacher imitation

Not 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.336
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.002

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 head0.045
GPT teacher head0.336
Teacher spread0.291 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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
Published2018
Admission routes1
Has abstractyes

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