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Record W2981571319 · doi:10.4095/296468

Controls on indium mineralisation in tin-tungsten-base metal deposits of the Canadian Appalachians

2015· report· en· W2981571319 on OpenAlexaffabout
C R Goeddeke, J B Chapman, Iain M. Samson

Bibliographic record

Venuenot available
Typereport
Languageen
FieldEngineering
TopicExtraction and Separation Processes
Canadian institutionsNatural Resources Canada
Fundersnot available
KeywordsBase metalTungstenTinIndiumBase (topology)MetalGeologyMetallurgyMaterials scienceMathematics

Abstract

fetched live from OpenAlex

Indium is a minor but potentially economically significant component of the ore metal tenor of many porphyry-style, stockwork and polymetallic vein-type Sn-W and Sn-base metal deposits of the Canadian Appalachians. However, indium distribution between deposits is highly uneven, and whereas some deposits contain hundreds of kilograms of the metal at grades sufficient to justify recovery, others are near-barren. In order to investigate the fundamental temperature, mineralogical, spatial and chemical controls on indium mineralisation in the district, this study has taken samples from indium rich and poor occurrences at 10 drilled prospects in southern New Brunswick and southwest Nova Scotia, as well as from the past-producing East Kemptville Mine in Nova Scotia. Detailed mineralogical characterization of these materials has shown that, contrary to existing models, within this district indium is commonly introduced early in the deposit paragenesis, presumably as a component of the initial, high-temperature magmatic-hydrothermal fluids. During this phase of mineralisation, indium is dominantly precipitated within copper-rich sphalerite, and it is the distribution of this mineral phase that primarily governs the presence or absence of indium within a mineralised body. During later cooling of the deposit a proportion of the indium is exsolved from sphalerite during recrystallization, and forms lamellae of a sulphide mineral that resembles sakuraiite in the core zones of many individual sphalerite.

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: none
Teacher disagreement score0.948
Threshold uncertainty score0.927

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 head0.046
GPT teacher head0.269
Teacher spread0.224 · 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
Published2015
Admission routes2
Has abstractyes

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