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Record W2620445895

Year in Review 2013: TiO2 feedstocks

2014· article· eo· W2620445895 on OpenAlexaboutno aff
Siobhan Lismore-Scott

Bibliographic record

VenueIndustrial Minerals · 2014
Typearticle
Languageeo
FieldEngineering
TopicMetal Extraction and Bioleaching
Canadian institutionsnot available
Fundersnot available
KeywordsIlmeniteZirconRutileTonneRaw materialBayGeologyGeographyMining engineeringGeochemistryEnvironmental scienceArchaeologyChemistry
DOInot available

Abstract

fetched live from OpenAlex

Rio Tinto's Fer et Titane (Iron and Titanium) division halted its TiO 2 feedstock expansion programme on the back of weaker market conditions. It also placed its South African Richard Bay Minerals zircon and rutile processing operations on care and maintenance, and took its Quebec chloride slag production facility offline. Australia Minerals and Mining Group Ltd (AMMG) confirmed a JORC inferred resource of 701m tonnes grading 3.8% HM at the Rover Range area of the Glenarty Creek mineral sands deposit, part of the Perth Basin in Western Australia. [Sichuan Lomon] abruptly withdrew from its agreement to develop WTR's Toliara ilmenite mine in Madagascar, citing WTR's recent capital raise and management change as the principle reason.

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)0.004
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: Review · Consensus signal: Review
Teacher disagreement score0.026
Threshold uncertainty score0.088

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0060.007
Science and technology studies0.0010.001
Scholarly communication0.0050.004
Open science0.0020.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0260.013

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 head0.056
GPT teacher head0.272
Teacher spread0.216 · 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
GenreReview

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
Published2014
Admission routes1
Has abstractyes

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