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The Borden Gold Deposit, northern Ontario: Contributions of VTEM helicopter time-domain EM and magnetics leading to discovery

2019· article· en· W2983936431 on OpenAlex
Marta María González Orta, Jean M. Legault, Karl Kwan, Sergio Espinosa

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueASEG Extended Abstracts · 2019
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeophysical and Geoelectrical Methods
Canadian institutionsGolder Associates (Canada)Petro Geotech (Canada)Optech (Canada)
FundersGoldcorp
KeywordsMesothermalLodeGreenstone beltArcheanGeologyDrillingShear zoneGeochemistrySeismologyEngineeringMechanical engineering

Abstract

fetched live from OpenAlex

SummaryThe Borden Gold deposit (9.3 Mt @ 5.3 g/t Au) is a structurally controlled Archean mesothermal lode gold deposit within the Kapuskasing Structural Zone, in northern Ontario. Helicopter VTEM and magnetic surveys were flown over the Borden Gold deposit, helping to design the first drilling program, leading to the discovery in 2010. Initial survey results defined the extension of the near surface low-grade-zone (LGZ). Advanced processing and modelling of VTEM data also appears to map the deeper high-grade-zone (HGZ). Results of subsequent 1D imaging and 2.5D inversions, and airborne inductive induced polarization (AIP) analysis, are also presented.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.968
Threshold uncertainty score0.995

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)0.0000.001

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 head0.005
GPT teacher head0.218
Teacher spread0.212 · 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