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Record W2791320263 · doi:10.4095/306599

3D geological modelling of the Double Eagle-Black Thor intrusive complexes, McFaulds Lake Greenstone Belt, Ontario

2018· report· en· W2791320263 on OpenAlexaffabout
A B Laudadio, Ernst Schetselaar, M G Houlé, C. Samson

Bibliographic record

Venuenot available
Typereport
Languageen
FieldEarth and Planetary Sciences
TopicGeological Modeling and Analysis
Canadian institutionsNatural Resources Canada
Fundersnot available
KeywordsGreenstone beltEagleGeologyGeochemistryPaleontologyArchean

Abstract

fetched live from OpenAlex

A 3D geological model is in development of the subsurface architecture and structural disposition of the Double Eagle (DEIC) - Black Thor (BTIC) intrusive complexes of the 'Ring of Fire' intrusive suite in northwestern Ontario. The 3D geological model is constrained by drillhole data from exploration claims, geological maps and a revised structural interpretation based on high resolution magnetic data. Gridded total magnetic field intensity grid was used to outline linear to curvilinear magnetic lows, defining a system of anastomosing shear zones that had previously been outlined on medium resolution magnetic data. Structural fabrics in drill core confirm that these shear zones define the contacts between ultramafic and gabbroic units within the intrusions, as well as the contacts with their felsic intrusive and volcanic host rocks. The Frank shear zone, which follows the northern margin of the ultramafic rock units in both intrusive complexes, displaces the chromite- and Ni-Cu-(PGE)-bearing ore zones within the DEIC for 1 to 1.5 km in a dextral apparent sense. To the south, the McFaulds shear zone overprinted the intrusive contact between the ultramafic rocks of the DEIC and its mafic-dominated volcanic host rocks. The 3D geological model will be used in an attempt to restore the displacement of the DEIC and BTIC with respect to their magmatic conduits in 3D space. This will ultimately provide new insights into the plumbing system associated with the Ni-Cu-(PGE) and chromite mineralization.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.347
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0350.000

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 head0.112
GPT teacher head0.262
Teacher spread0.150 · 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.

Study designSimulation or modeling
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

Citations2
Published2018
Admission routes2
Has abstractyes

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