MétaCan
Menu
Back to cohort

6th International Conference Current issues of continuum mechanics and celestial mechanics (6thCICMCM)

2017· article· en· W4247313325 on OpenAlexaboutno aff

Bibliographic record

VenueJournal of Physics Conference Series · 2017
Typearticle
Languageen
FieldEngineering
TopicGeotechnical and Geomechanical Engineering
Canadian institutionsnot available
Fundersnot available
KeywordsState (computer science)Political scienceLibrary scienceGeographyMathematicsComputer science

Abstract

fetched live from OpenAlex

Preface This book contains the papers of the VI International Conference Current issues of continuum mechanics and celestial mechanics – CICMCM'2016 held in Tomsk (Russia), November 16–18, 2016. The first conference was organized in 2010 within the framework of the Second All-Russian Festival of Science at Tomsk State University. More than 750 researchers from scientific organizations of Russia, Algeria, Poland, Belarus, Ukraine, Canada, Germany, Serbia, France and Kazakhstan participated in the conference since its foundation. Almost all National Research Universities of Russia, including Russian Federal Nuclear Centers were represented. Previous papers were published in Proceedings of Tomsk State University and Tomsk State University Journal of Mathematics and Mechanics . The conference themes addressed novel and advanced topics on Continuum Mechanics and Celestial Mechanics with focus on gas mechanics, hydrodynamics, aerodynamics, elasticity theory, plasticity theory, deformable solid mechanics, mechanics of heterogeneous and functional materials, movement of bodies in space, liquid and gaseous media, strength, survivability and destruction of materials and structures, technical mechanics of living systems, multiscale structure and texture and ballistics. The organizers of the conference were Scientific Research Institute of Applied Mathematics and Mechanics and Faculty of Physics and Engineering of Tomsk State University. There are good reasons to believe that the conference fulfilled its goals. We would like to take this opportunity to thank the authors and all reviewers for their generous efforts. A sincere thanks to all participants, sponsors and institutions for their great support towards a successful CICMCM'2016. Special thanks to the Russian Foundation for Basic Research and the local committee of the conference. We are always glad to see you at Tomsk State University. Editor-in-Chief Maxim Orlov Tomsk, Russia, 2016

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)0.002
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.115
Threshold uncertainty score0.383

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0010.001
Scholarly communication0.0060.004
Open science0.0020.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.1150.049

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 head0.025
GPT teacher head0.258
Teacher spread0.233 · 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".

Quick stats

Citations0
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Physics Conference SeriesSame topicGeotechnical and Geomechanical EngineeringFrench-language works237,207