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National panorama of niobium between 2010 and 2014

2018· article· en· W3107020170 on OpenAlexaboutno aff
Tamires Luara de Oliveira Brittes, Franciolli da Silva Dantas Araújo, Amanda Alves Fecury, Euzébio de Oliveira, Carla Viana Dendasck, Cláudio Alberto Gellis de Mattos Dias

Bibliographic record

VenueRevista Científica Multidisciplinar Núcleo do Conhecimento · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicRecycling and Waste Management Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsNiobiumChinaMetallurgyAgricultural economicsMaterials scienceGeographyEconomicsArchaeology

Abstract

fetched live from OpenAlex

Mining is the extraction activity of a mineral good from the earth's crust. Niobium (Nb) is the element of no. 41 in the periodic table of chemical elements, such as transition metal, with its degree of hardness on the mohs scale equal to 6. The main niobium products of industrial interest are currently ferroniobium, niobium pentoxide vacuum alloys and metallic niobium. Brazil is the holder of the largest mineral reserves and leads the market when talking about Niobium, currently its reserves are estimated around 842,460.00 tons with an average content of 0.73% of Nb2O5. With the addition of new policies and contract renewals, Brazil has consolidated its position in the international market, having as main consumers the United States, Japan, Holland, China, Germany, Canada, South Korea, Russia and the United Kingdom. The rise in the price of oil in the period from 2003 to July 2008 made possible new exploration projects and the maintenance of deactivated transmission lines, which required greater production of steel pipes with resistance to heat and low temperatures, which boosted investments in new studies of the use of substances that met the demand , thus growing the internal market of Niobium.

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.

How this classification was reachedexpand

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.256
Threshold uncertainty score1.000

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.019
GPT teacher head0.290
Teacher spread0.271 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

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