MétaCan
Menu
Back to cohort

Geophysical detection of mineral conductors in tropical terrains with target conductors partly embedded in the conductive overburden

2013· article· en· W6921873569 on OpenAlexaff

Bibliographic record

VenueUniversity of Nairobi Research Archive (University of Nairobi) · 2013
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeophysical and Geoelectrical Methods
Canadian institutionsMcGill University
Fundersnot available
KeywordsElectrical conductorOverburdenDrillingOutcropElectrically conductiveSeabedGround-penetrating radar

Abstract

fetched live from OpenAlex

Ground geophysical methods were used in the greenstone belt of Western Kenya as follow-up of an Input airborne electromagnetic survey. Observation and drilling results showed that the graphite and pyrite bodies, which constitute the main target conductors in the area, either outcrop or reach near to the ground surface. The drilling results further showed that the weathered layer is between 20 m and 60 m thick. Therefore the target conductors are partly embedded in this fairly conductive weathered layer and may be in galvanic contact with it. The geophysical methods were able to delineate the conductors. However, by virtue of the galvanic contact between the conductors and the conductive overburden, the profiles from the horizontal loop EM measurements are highly enhanced. This effect makes interpretation of the profiles possible at low frequencies but difficult at high frequencies. The interpreted EM results show that the target conductors appear shallow and less conductive at higher frequencies. Thus one must choose geophysical instruments and operating frequencies carefully to ensure good results in tropical terrains.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.425
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.027
GPT teacher head0.235
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 teacher head, 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
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueUniversity of Nairobi Research Archive (University of Nairobi)Same topicGeophysical and Geoelectrical MethodsFrench-language works237,207