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Record W4389127824 · doi:10.5151/2594-357x-15687

CONCENTRAÇÃO DOS FINOS DE MINÉRIO DE FERRO DE SERRA AZUL

2009· article· pt· W4389127824 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
Languagept
FieldEngineering
TopicMineral Processing and Grinding
Canadian institutionsIron Ore Company (Canada)
Fundersnot available
KeywordsPhysicsMineralogyNuclear chemistryChemistryMaterials scienceAnalytical Chemistry (journal)Chromatography

Abstract

fetched live from OpenAlex

PDF | Os objetivos desse trabalho foram avaliar a concentração da fração <1,68mm de minério de ferro estocado na região de Serra Azul e otimizar o atual circuito de concentração, aumentando sua capacidade de produção. As amostras foram caracterizadas e processadas em três circuitos. O primeiro circuito testado foi a concentração magnética de alta intensidade de toda a fração <1,68mm, tal qual a operação atual. O segundo circuito foi a concentração da fração <1,68mm >0,15mm em WDRE + WHIMS, separada da fração <0,15mm, concentrada em WHIMS. O terceiro circuito consistiu de concentração da fração <1,68mm >0,15mm em espirais WW6 + WHIMS, sendo utilizado WHIMS para a fração <0,15 mm. Mostrou-se possível a obtenção de concentrado de alta qualidade tanto por concentração magnética, quanto por concentração gravítica com elevada recuperação metálica. Com a concentração gravítica foi obtido um aumento na capacidade do circuito de 40% e ganho de até 16% em recuperação metálica sem perda na qualidade dos produtos.

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 categoriesMeta-epidemiology (narrow)
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 score0.613
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.014
GPT teacher head0.248
Teacher spread0.234 · 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