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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 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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.899
Threshold uncertainty score0.338

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.1010.029

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 source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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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