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Record W2514973129

People and places

2013· article· en· W2514973129 on OpenAlexaboutno aff
Kasia Patel

Bibliographic record

VenueIndustrial Minerals · 2013
Typearticle
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsnot available
Fundersnot available
KeywordsMineral processingPosition (finance)BusinessManagementEngineeringNephelineDivision (mathematics)AccountingCommerceFinanceEconomicsMineralogyMetallurgyGeology
DOInot available

Abstract

fetched live from OpenAlex

Dan Norrgran, Eriez' Minerals and Materials Processing division manager, passed away unexpectedly on 16 October 2012. Norrgran was employed at Eriez, the mineral processing equipment specialist, for 27 years and was a member of several professional associations, including the Canadian Institute of Metallurgy and the International Minerals Association He contributed greatly to growing global equipment sales for Eriez in the mining, industrial minerals and coal processing industries. In 2004 he was awarded Eriez' Person of the Year for managing the mineral processing division to its present key position within [the company's] worldwide operations. PhosAgro CEO Maxim Volkov has been elected chairman of the Apatit board of directors, while PhosAgro AG's CEO, Mikhail Rybnikov, was elected deputy chairman. Phosphate producer PhosAgro signed a purchase agreement for the Russian Federation's share in nepheline syenite producer OJSC Apatit in October.

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)0.000
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: Empirical
Teacher disagreement score0.061
Threshold uncertainty score0.360

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 head0.024
GPT teacher head0.201
Teacher spread0.177 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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
Published2013
Admission routes1
Has abstractyes

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