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Record W6995658368

Petrography, geochemistry and\ngenesis of the Skiftesmyr Cu-Zn VMS deposit,\nGrong, Norway

2013· dissertation· en· W6995658368 on OpenAlexaboutno aff

Bibliographic record

VenueDuo Research Archive (University of Oslo) · 2013
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtein Kinase Regulation and GTPase Signaling
Canadian institutionsnot available
Fundersnot available
KeywordsMineralization (soil science)PetrographySupergene (geology)NappeAllochthonMarcasiteChalcopyrite
DOInot available

Abstract

fetched live from OpenAlex

The Skiftesmyr Cu-Zn VMS-deposit is located in the Grong municipality of Northern\nTrøndelag, Norway. The mineralization has been known since at least 1903, when mention of\nsmall workings in the area were first published, and has later been the subject of several\nexploration projects by different companies, of which MetPro AS is the latest. The Skiftesmyr\ndeposit is a part of the Gjersvik Nappe, which is a part of the Köli Nappe Complex, which in\nturn is a part of the Upper Allochthon of the Scandinavian Caledonides, and is likely of Mid-\nOrdovician age. Petrographic and geochemical studies were carried out on samples from\ntrenches cutting across the mineralized horizons. Geochemical analyses performed on the\nigneous rocks suggest that the deposit formed in a back-arc environment in relation to a\nrelatively mature (compared to e.g. the Skorovas and Gjersvik deposits) island arc. In terms of\nlithological associations Skiftesmyr can be classified as bimodal-mafic and/or maficdominated,\ndepending on the interpretation of the available geochemical data, and has several\ntraits in common with both the Noranda deposits, Quebec, and the deposits of the Troodos\nMassif, Cyprus. The dominant ore minerals are chalcopyrite and sphalerite, with only minor\namounts of Cu-enriched sulphides associated with supergene enrichment processes present.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.146
Threshold uncertainty score0.802

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.012
GPT teacher head0.248
Teacher spread0.236 · 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 designBench or experimental
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
Published2013
Admission routes1
Has abstractyes

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