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Record W2900373185

K+S opens potash port facility in Canada

2017· article· en· W2900373185 on OpenAlexaboutno aff

Bibliographic record

VenueIndustrial Minerals · 2017
Typearticle
Languageen
FieldEngineering
TopicMetal Extraction and Bioleaching
Canadian institutionsnot available
Fundersnot available
KeywordsPotashPort (circuit theory)TonneSalt lakeMining engineeringEngineeringEnvironmental scienceAgricultural economicsWaste managementGeologyElectrical engineeringStructural basin
DOInot available

Abstract

fetched live from OpenAlex

The German potash and salt producer opens a new port facility in Vancouver, Canada, to transport products from its potash mine. German potash and salt producer K+S has opened a new port facility in Vancouver, Canada as part of its logistic network to transport products from its potash mine. K+S will jointly operate the new facility with partner Pacific Coast Terminals (PCT). The facility is situated at the PCT site of port Moody in Vancouver. According to K+S, the new facility includes an unloading station for freight cars, 1,260 metres of conveyor belts as well as a 263-metre-long shed for the storage of up to 160,000 tonnes of potash products. The new potash handling and storage facility in Vancouver port. The 263-meter-long shed for the storage of a total of 160,000 tonnes of potash products. K+S Freight trains carrying 18,000 tonnes of products can be unloaded at the facility's quay, where ships with a capacity of 70,000 tonnes can be loaded. K+S has started commercial potash production at its Bethune plant in Saskatchewan in June and the minerals produced will be transported by rail to the new port facility in Vancouver. The cargo will then be unloaded, stored and loaded onto ships for deliveries to customers, primarily in Latin America and Asia. Besides America and Asia, K+S's potash export in Canada will also deliver to buyers globally, the company said.

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 score0.487
Threshold uncertainty score0.382

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 head0.081
GPT teacher head0.256
Teacher spread0.175 · 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
Published2017
Admission routes1
Has abstractyes

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