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Record W2046855800 · doi:10.3103/s0967091212040158

Selecting mixtures for continuous casting of rail steel at OAO EVRAZ ZSMK

2012· article· en· W2046855800 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

VenueSteel in Translation · 2012
Typearticle
Languageen
FieldEngineering
TopicRailway Systems and Materials Science
Canadian institutionsEVRAZ (Canada)
Fundersnot available
KeywordsCastingMetallurgyContinuous castingMaterials scienceSteel castingEngineeringAutomotive engineeringForensic engineeringMechanical engineering

Abstract

fetched live from OpenAlex

Two versions of TSK-K-20 mixture are selected for the casting of 300 × 340 mm rail-steel billet on a radial continuous-casting machine: TSK-K-20B1 and TSK-K-20B1m. Their chemical composition and thermophysical characteristics are investigated. The mixtures ensure the required surface quality of the billet and the rolled product; the life of the submersible nozzles is at least 20 h. At present, these mixtures are used instead of ShOS-1 mixture for continuous casting in the electrosmelting shop.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.112
Threshold uncertainty score0.391

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.027
GPT teacher head0.245
Teacher spread0.219 · 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