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Preface

2019· article· en· W4231694223 on OpenAlexaboutno aff

Bibliographic record

VenueIOP Conference Series Earth and Environmental Science · 2019
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological Studies and Exploration
Canadian institutionsnot available
Fundersnot available
KeywordsPetrographyLibrary scienceRussian federationMetamorphismGovernment (linguistics)Political scienceGeologyGeochemistryGeographyRegional sciencePhilosophy

Abstract

fetched live from OpenAlex

These Conference Proceedings contain the selected papers of the X All Russian petrographic conference with international participation “Petrology of magmatic and metamorphic complexes” which was held from 27 to 30 November 2018 in Tomsk. The conference was organized by the Faculty of Geology and Geography of the National Research Tomsk State University. Issues of petrology of different geodynamic complexes of the lithosphere were considered. All their diversity is united by a common paradigm of the Earth evolution as a result of magmatic activity, metamorphism and formation of sedimentary basins. The Program Committee included the members of the Russian Academy of Sciences N.L. Dobretsov, V.A. Koroteev, M.I. Kuzmin, V.V. Reverdatto, V.V. Yarmolyuk, corresponding members of the Russian Academy of Sciences D.P. Gladkochub, G.V. Polyakov, E.V. Sklyarov, Professor of the Carleton University (Canada) R.E. Ernst, Professor of the University of Salamanca G. Gutierrez-Alonso, Professor of the University of Wyoming K. Chamberlain and other famous scientists. The presented materials combine the results of a structural and compositional study of volcanic, plutonic and metasedimentary complexes of Eurasia. This forum became a convenient platform for wider exchange of scientific information between specialists from higher education institutions, academic institutions and companies. Section for young researchers with the aim of developing their scientific and creative potential in the field of modern petrology was foreseen by the conference program. The conference was supported by Russian Foundation for Basic Research and the Government of the Russian Federation (grants No. 18-05-20112, 14.Y26.31.0012) and sponsorship by the famous Russian private companies «TESCAN» (St. Petersburg), «LABTEST» (Moscow) and «Reolgrade service” (Novosibirsk), specializing in the supply of modern analytical equipment and standard samples for physic-chemical research. We are grateful to all participants of the meeting for the fruitful work and active support of the forum. Organizing Committee

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)0.007
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: Editorial · Consensus signal: none
Teacher disagreement score0.658
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0020.001
Scholarly communication0.0070.004
Open science0.0020.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.6580.508

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 head0.015
GPT teacher head0.174
Teacher spread0.159 · 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
GenreEditorial

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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Citations0
Published2019
Admission routes1
Has abstractyes

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