MétaCan
Menu
Back to cohort
Record W3214182429 · doi:10.7185/gold2021.3030

Mercury haloes in air above ore deposits and faults on Vancouver Island, BC, Canada

2021· article· en· W3214182429 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueGoldschmidt2021 abstracts · 2021
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsnot available
Fundersnot available
KeywordsMercury (programming language)GeologyMining engineeringEnvironmental scienceArchaeologyGeographyComputer science

Abstract

fetched live from OpenAlex

Mercury is the only metal that forms vapour haloes in soil gas and near-surface atmosphere that currently can be directly detected. Among volatile geogenic components, Hg vapour has been most informative in exploration, geological mapping, and earthquake prediction. This is because Hg occurs in most types of endogenic ore deposits and readily reduces to highly mobile Hg 0 that emanates from mineral deposits, active faults, volcanoes, and geothermal zones. Mercury escaped into the atmosphere is diluted by turbulent diffusion and transferred with air mass movement. Hence, Hg vapour haloes in near-surface air occur directly above mineral deposits and faults rather than forming dispersal plumes. This contrasts with lithochemical, hydrochemical, and biochemical dispersion aureoles that can be laterally displaced or obscured by transported overburden. Low background concentrations in the atmosphere (1.2 to 1.5 ng/m 3 ) enable detecting even weak Hg emissions directly above sources 100s of metres below the surface. Because of higher Hg vapour concentration, soil gas sampling is more commonly used than near-surface air sampling. However, soil gas sampling is not suitable across highly variable surficial materials, outcrops, felsenmeers, wet soil, bogs, water bodies, permafrost, and snow cover. This study evaluates the effectiveness of real-time Hg vapour measurement in air 1-50 cm above ground at 15 locations on Vancouver Island, British Columbia, Canada [1]. These sites include different types of sediment-covered and exposed mineralized zones and faults. The direct and continuous analysis using a portable RA-915M mercury analyzer reveals Hg vapour concentrations ranging from 0.5 to 54.4 ng/m 3 . Prominent Hg vapour haloes mark shear-hosted Cu-Ag-Au, epithermal Au-Ag-Cu, and sediment-covered polymetallic volcanogenic massive sulphide mineralized zones (4 to 13x background Hg). Faults are also marked by weak Hg vapour anomalies. Our study finds that a simple, real-time Hg vapour sampling of near-surface air can instantly delineate mineralized zones and faults that are buried under overburden tens of metres thick.

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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.776
Threshold uncertainty score1.000

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.008
GPT teacher head0.210
Teacher spread0.202 · 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