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Record W2591636759 · doi:10.1007/978-3-030-13901-8_6

National Status Reports

2019· book-chapter· en· W2591636759 on OpenAlexaffabout
Guergana Guerova, Gregor Möller, Eric Pottiaux, Hugues Brenot, Roeland Van Malderen, Haris Haralambous, Filippos Tymvios, Jan Douša, Michal Kačmařík, Kryštof Eben, Henrik Vedel, Kalev Rannat, Rigel Kivi, Ari‐Matti Harri, Olivier Bock, Jean‐François Mahfouf, Jens Wickert, Galina Dick, Roland Potthast, Susanne Crewell, Christos Pikridas, Nicholas Zinas, Athanassios Ganas, Máté Mile, Sune Thorsteinsson, Benedíkt G. Ófeigsson, Yuval Reuveni, S. O. Krichak, R. Pacione, G. Bianco, Riccardo Biondi, Gintautas Stankūnavičius, Felix Norman Teferle, Jarosław Bosy, Jan Kapłon, Karolina Szafranek, Rui Fernandes, Pedro Viterbo, André Sá, J. Hefty, Magdaléna Igondová, Enrique Priego-de-los-Santos, Gunnar Elgered, Magnus Lindskog, Martin Ridal, Ulrika Willén, Tong Ning, E. Bröckmann, Karina Wilgan, Alain Geiger, Çetin Mekik, Jonathan Jones, Zhizhao Liu, B. Chen, C. Wang, Salim Masoumi, Melanie Moore, Stephen Macpherson

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldEngineering
TopicGNSS positioning and interference
Canadian institutionsEnvironment and Climate Change Canada
Fundersnot available
KeywordsHistoryPolitical science

Abstract

fetched live from OpenAlex

In this section a summary of the national progress reports is given. GNSS4SWEC Management Committee (MC) members provided outline of the work conducted in their countries combining input from different partners involved. In the COST Action paticipated member from 32 COST countries, 1 Near Neighbour Country and 8 Intrantional Partners from Australia, Canada, Hong Kong and USA. The text reflects the state as of 1 January 2018.

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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.650
Threshold uncertainty score1.000

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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.013
GPT teacher head0.204
Teacher spread0.191 · 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
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

Citations2
Published2019
Admission routes2
Has abstractyes

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