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The MONDO Minerals Nickel Sulfide Bioleach Project: From Test Work to Early Plant Operation

2017· article· en· W2749862026 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueDiffusion and defect data, solid state data. Part B, Solid state phenomena/Solid state phenomena · 2017
Typearticle
Languageen
FieldEngineering
TopicMetal Extraction and Bioleaching
Canadian institutionsNickel Institute
FundersMintek
KeywordsPentlanditePyrrhotiteNickelCobaltTalcMetallurgyMagnesiteMaterials scienceSulfidePyriteSulfide mineralsProcess engineeringWaste managementEnvironmental scienceEngineering

Abstract

fetched live from OpenAlex

Mondo Minerals owns talc mines in Finland at Sotkamo and Vuonos. A by-product of their talc mining operations is a high-grade sulfide concentrate containing pyrrhotite, pentlandite, pyrite, gersdorffite and magnesite. Nickel is the main metal of economic interest, but the concentrate also contains a small amount of cobalt and a significant quantity of arsenic. Multiple processing options were evaluated before identifying Mintek’s bioleaching technology as the most suitable for the recovery of nickel and cobalt from this stream. This paper describes the technical development of the process, from laboratory test work to plant design and early plant operation.

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.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.448
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0040.003
Open science0.0040.004
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.052
GPT teacher head0.305
Teacher spread0.253 · 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