MétaCan
Menu
← Back to cohort
Record W7038586471

Hydrothermal alteration and lithogeochemistry of the boundary volcanogenic massive sulfide (VMS) deposit, Central Newfoundland, Canada

2015· dissertation· en· W7038586471 on OpenAlexfundaboutno aff

Bibliographic record

VenueMemorial University Research Repository (Memorial University) · 2015
Typedissertation
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaResearch and Development Corporation of Newfoundland and Labrador
KeywordsVolcanogenic massive sulfide ore depositHydrothermal circulationSulfideBrecciaRhyoliteMineralization (soil science)SphaleriteSericiteMineral exploration
DOInot available

Abstract

fetched live from OpenAlex

The Boundary volcanogenic massive sulfide (VMS) deposit (0.45 Mt @ 3.4% Cu, 4.0% Zn, 1.0 % Pb, 34 g/t Ag) is located in the Tally Pond group (~510 Ma), central Newfoundland, Canada. The deposit is hosted by rhyolitic rocks that are interpreted to have formed within a rifted continental arc on the leading edge of Ganderia. Mineralization consists of massive pyrite, chalcopyrite, and sphalerite lenses. The basal portion of these lenses contain lapilli tuff clasts indicative of replacement style mineralization. Three hydrothermal alteration assemblages are recognized at Boundary: quartz-sericite, chlorite-sericite, and intense chlorite. Lithogeochemical data are useful in identifying key element associations and alteration assemblages. Short-wave infrared (SWIR) spectroscopy data provide an effective vector for Zn mineralization and correlate with whole rock geochemistry. Lithogeochemical and SWIR data have been used to recreate a three-dimensional alteration model of the Boundary deposit that may be useful in further mineral exploration.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.155

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.013
GPT teacher head0.221
Teacher spread0.208 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Explore more

Same venueMemorial University Research Repository (Memorial University)→Same topicGeochemistry and Geologic Mapping→French-language works237,207→