MétaCan
Menu
Back to cohort
Record W1964250738 · doi:10.3103/s1067821210020045

Investigation of the kinetics of cobalt decarburization in a direct-current arc furnace

2010· article· en· W1964250738 on OpenAlex
V. P. Zhukov, V. A. Kniss, S. V. Kniss, A. S. Avdeev

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

VenueRussian Journal of Non-Ferrous Metals · 2010
Typearticle
Languageen
FieldEngineering
TopicMetallurgical Processes and Thermodynamics
Canadian institutionsNickel Institute
Fundersnot available
KeywordsDecarburizationCobaltMetallurgyDissolutionDiffusionKineticsMaterials scienceCarbon fibersMetalElectric arc furnaceSaturation (graph theory)OxygenAtmospheric temperature rangeActivation energyDiffusion layerChemistryAnalytical Chemistry (journal)Layer (electronics)ThermodynamicsComposite material

Abstract

fetched live from OpenAlex

Under the industrial operating conditions of a direct-current arc furnace in a temperature range of 1530–1650°C, the kinetics of cobalt decarburization by CoO additives is investigated. It is shown that, when the carbon concentration in the melt is lowered to 0.3–0.5%, the process rate is limited by the diffusion of carbon into the bulk of the liquid metal with activation energy of 58.74 kJ/mol. In the initial period of the process, the controlling stages are the saturation of the surface layer with oxygen and dissolution of CoO. To decrease the diffusion obstacles and shorten the duration of the final treatment of fire cobalt, it is recommended that convective flows in a bath be developed due to the increase in the current load.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.527
Threshold uncertainty score0.369

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 head0.011
GPT teacher head0.226
Teacher spread0.216 · 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