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Record W2982439257 · doi:10.17073/1683-4518-2019-9-3-9

Refractories of JSC BKO for the reconstruction of air heaters of JSC EVRAZ ZSMK according to the project of Paul Wurth

2019· article· en· W2982439257 on OpenAlexaff
А. В. Можжерин, А. В. Сакулин, С. И. Гершкович, А. П. Маргишвили, V. V. Skurikhin, A. Yu. Korzhavin, А. В. Витовский, В. А. Мусевич, М. A. Tsarev, Yu. L. Vozdvizhenskii, А В Амелин, I. V. Chernyavskii, Alexander V. Vashchenko, A. V. Kalenda, М. А. Tyapkov, Santiago Cano, M.J. Hilt, D. Warzecha, I. G. Rassomakhin, Е. B. Ivanov

Bibliographic record

VenueNOVYE OGNEUPORY (NEW REFRACTORIES) · 2019
Typearticle
Languageen
FieldEngineering
TopicRocket and propulsion systems research
Canadian institutionsEVRAZ (Canada)
Fundersnot available
KeywordsElectrical engineeringEngineeringMechanical engineeringMaterials scienceEngineering physics

Abstract

fetched live from OpenAlex

The results of a comprehensive cooperation between BKO JSC, EVRAZ ZSMK JSC and Paul Wurth in the field of design, development and supply of a range of refractory materials intended for use in air heaters under construction are presented. The main development trends aimed at improving the technology and optimizing the parameters of the physicochemical characteristics of refractory materials are indicated. The main aspects of interaction between companies related to the implementation of the project of reconstruction of air heaters in the conditions of EVRAZ ZSMK JSC, the production and supply of innovative refractories, improvement of technical and economic performance indicators of air heaters and an increase in the resource for their operation are considered. Ill. 6. Ref. 3. Tab. 6.

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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.035
Threshold uncertainty score0.116

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0350.008

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 head0.027
GPT teacher head0.285
Teacher spread0.258 · 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
Published2019
Admission routes1
Has abstractyes

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