MétaCan
Menu
Back to cohort

Mineralogy and microstructure of skull varieties in blast furnace № 6 JSC EVRAZ NTMK

2020· article· en· W4244990847 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueNOVYE OGNEUPORY (NEW REFRACTORIES) · 2020
Typearticle
Languageen
FieldEngineering
TopicIron and Steelmaking Processes
Canadian institutionsEVRAZ (Canada)
Fundersnot available
KeywordsVanadiumBlast furnacePetrographyMicrostructureMetallurgyTitaniumMaterials scienceSkullMetalChemical compositionZincFerrousMineralogyGeologyChemistry

Abstract

fetched live from OpenAlex

The results of a comprehensive study of the material composition and microstructure of 20 skull samples taken after blowing out blast furnace № 6 of EVRAZ NTMK JSC are presented. More than 30 minerals and metal phases of different chemical classes were diagnosed in the samples of the skull. Unlike the skull of blast furnaces of other metallurgical plants (NLMK, ZSMK), the skull of NTMK blast furnaces has an abnormally high content of titanium, zinc, vanadium compounds, as well as heavy non-ferrous metals and sulfur. On the basis of a detailed petrographic analysis, 5 structural and genetic types (varieties in composition and origin) of the garnice were identified. The varieties of the garnish contain a large amount of grenal, which is dominated by refractory compounds of titanium and vanadium carbonitrides of the general formula (Ti, V) (C, N).

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.869
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.010
GPT teacher head0.197
Teacher spread0.186 · 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