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Record W2519520621

People and Places: January 2013

2013· article· en· W2519520621 on OpenAlexaboutno aff
Kasia Patel

Bibliographic record

VenueIndustrial Minerals · 2013
Typearticle
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsnot available
Fundersnot available
KeywordsPotashPolitical scienceManagementEngineeringPotassiumMetallurgyEconomics
DOInot available

Abstract

fetched live from OpenAlex

Rio Tinto MineralsWhat are your objectives as Rio Tinto Minerals CEO? Mike Ferguson has been appointed as president and CEO of Gensource Capital's subsidiary, Gensource Potash Corp. Ferguson has more than 25 years of experience in the Saskatchewan potash and uranium industries and most recently led the Potash One project team in developing the Legacy Project in Saskatchewan. Until recently, Ferguson worked in a transitional role with K+S Potash Canada, who took over Potash One in November 2010. Tom Currin will be the new strategic advisor for lithium junior Pure Energy Minerals Limited which has a development in Nevada, US. Under the agreement, Currin, who is a specialist in lithium brine chemical process development, will act as strategic advisor to the board of directors.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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: Other · Consensus signal: Other
Teacher disagreement score0.252
Threshold uncertainty score0.842

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.001
Scholarly communication0.0050.002
Open science0.0010.003
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.2520.130

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 head0.200
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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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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