9th All Russian petrographic conference with international participation: Petrology of magmatic and metamorphic complexes
Bibliographic record
Abstract
Preface These Conference Proceedings contain the selected papers of the 9 th All Russian petrographic conference with international participation " Petrology of magmatic and metamorphic complexes " which was held from 28 November to 2 December 2017 in Tomsk. The conference was organized by the Faculty of Geology and Geography of the National Research Tomsk State University. It was supported by Russian Foundation for Basic Research and the Government of the Russian Federation (grants No. 17-05-20572, 14.Y26.31.0012). 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, 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 magmatic and metamorphic complexes in Europe, Asia and North America. Issues of petrology, formational analysis, geodynamics and mineralogy of crystalline complexes of the lithosphere were considered. 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. We thank all participants for the initiative and active support of the forum. Organizing Committee
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.071 | 0.021 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".