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Record W7095553672

Economic Geology

2016· article· en· W7095553672 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAdvanced Electron Microscopy Techniques and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsSkarnArcheanMaficLithologyGreenstone beltCountry rockFluid inclusionsMetamorphic rockMineralMineral resource classification
DOInot available

Abstract

fetched live from OpenAlex

Three prominent mineralized calc-silicate occurrences (Cr-rich skarn, Fe-rich skarn, and REE-enriched calc-silicates) are present in close association with regional planar structures at the White River property of LAC Minerals Ltd., in the Archean Hemlo-Heron Bay greenstone belt of the Superior province, Ontario, Canada. The Cr- and Fe-rich skarns were metasomat-ically derived, respectively, from ultramafic-mafic host rocks at 400 ø _+ 50øC, 3 kbars, and an aqueous fluid (Xco • (0.03), and mafic host rocks at 500 ø to 560øC, 4 kbars, and an aqueous fluid (Xco • (0.05). The REE-enriched calc-s•licates are characterized by abundant epidote-prehnite veins and minor REE-rich minerals and were formed at 3œ0øC and 1.7 kbars during infiltration of an aqueous fluid of moderate salinity. These three calc-silicate occurrences collectively indicate a protracted episode of skarn development which commenced immediately after the peak of the regional thermal metamorphism. Metallogenesis correlates strongly with the respective host lithologies and is characterized by Fe-Ni-Co-Zn-Cu-Mo sulfides in the Cr-rich skarn, similar to the assemblage of Outokumpu-type ores, and Fe-Zn-Cu-Ni-Co sulfides in the Fe-rich skarn, resembling sulfide ores in calcic

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: none
Teacher disagreement score0.555
Threshold uncertainty score0.178

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 head0.004
GPT teacher head0.293
Teacher spread0.289 · 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
Published2016
Admission routes1
Has abstractyes

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