MétaCan
Menu
Back to cohort
Record W4389127106 · doi:10.5151/2594-5327-15227

CSN IRON ORE BUSINESS – A NEW INTERNATIONAL PLAYER

2009· article· en· W4389127106 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

VenueABM Proceedings · 2009
Typearticle
Languageen
FieldEngineering
TopicIron and Steelmaking Processes
Canadian institutionsIron Ore Company (Canada)
Fundersnot available
KeywordsIron oreMetallurgyBlast furnaceSinteringSteel millEngineeringMaterials science

Abstract

fetched live from OpenAlex

PDF | Companhia Siderúrgica Nacional (CSN Steel Company) which is 100% owner of Casa de Pedra Iron Ore Mine (CdP) and 60% of Nacional Minérios S.A. (NAMISA), accounts for the majority of its iron ore supply, producing lump ore, sinter and pellet feeds with high iron ore content and great physical properties. Casa de Pedra and NAMISA have a vast reserve and ore rated as a world class mining assets. The paper shows a brief history, their current situation as well as the production master plan with the expansions. The iron ore products performance in sintering and blast furnace process at CSN Steel Company are also described and analyzed.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.606
Threshold uncertainty score0.552

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 head0.008
GPT teacher head0.212
Teacher spread0.204 · 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