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Preface

2024· article· en· W4405566750 on OpenAlexaboutno aff

Bibliographic record

VenueJournal of Physics Conference Series · 2024
Typearticle
Languageen
FieldMaterials Science
TopicMetallurgical and Alloy Processes
Canadian institutionsnot available
Fundersnot available
KeywordsPhilosophy

Abstract

fetched live from OpenAlex

The seminar “Development of Materials Science in Research and Education - DMSRE” was the 33rd in a series that began in Gabcíkovo in 1991, initiated by the Czech and Slovak Association for Crystal Growth and the Slovak Expert Group of Solid State Chemistry and Physics. The seminar provided an excellent opportunity for the presentation and discussion of results in the fields of materials engineering, chemistry, solid-state physics, production technologies, materials processing, and related areas. Additionally, the seminar aimed to facilitate the exchange of experiences in teaching technical subjects, chemistry, and physics at universities, and to explore the connections between university research and practical applications. The scientific session covered the following main topics: · Trends in development of materials research · Education of materials science at the universities · Equipment for materials preparation and characterization · Results of materials research The program included two invited keynote lectures (40 minutes each) by Shelley Lorimer from MacEwan University, Edmonton, Alberta, Canada, and Jan Džugan from COMTES FHT a.s., Dobrany, Czech Republic; 52 contributions presented as short lectures (20 minutes each); and two company presentations. Of the lectures presented at the seminar, 27 contributions are included in this proceedings. Abstracts of all contributions, along with the seminar program, are available on the conference website: https://dms.fzu.cz/33/. We hope that all 60 participants enjoyed the 33rd DMSRE Joint Seminar and their stay in the High Tatras. List of Sponsors, Scientific Committee, Organizing and Program Committee, Editors are available in this pdf.

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)0.009
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 score0.574
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0030.001
Scholarly communication0.0050.004
Open science0.0020.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.5740.403

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 head0.033
GPT teacher head0.269
Teacher spread0.236 · 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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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