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Record W2088998774 · doi:10.15628/holos.2014.1749

MINERAIS CONTAMINANTES DO CAULIM DA MINA IPIXUNA, NO ESTADO DO PARÁ: CARACTERÍSTICAS E INTERFERÊNCIAS NO BENEFICIAMENTO MINERAL

2014· article· pt· W2088998774 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

VenueHolos · 2014
Typearticle
Languagept
FieldMaterials Science
TopicClay minerals and soil interactions
Canadian institutionsImpact
Fundersnot available
KeywordsChemistryHumanitiesMineralogyNuclear chemistryPhysicsArt

Abstract

fetched live from OpenAlex

A mina Ipixuna extrai caulim sedimentar e produz matéria-prima final para a indústria do papel. O minério varia devido a presença de minerais contaminantes. Whiteness, yellowness e composição química são parâmetros importantes no processamento mineral. Visualmente, minério com cor vermelha ou amarela é descartado, e com cor clara é aproveitado. Nesta pesquisa, as análises com espectrofotometria, estereomicroscopia e mineralogia com amostras de minério mostraram que a mineralogia contaminante é um indicador importante na tomada de decisão sobre o beneficiamento. Verificou-se que blocos com cor amarela e com alto teor de ferro, podem gerar produto final com qualidade para o papel, quando o principal mineral contaminante é a goethita, removida na separação magnética e branqueamento no químico.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.723
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.019

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 head0.023
GPT teacher head0.284
Teacher spread0.261 · 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