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Record W2909550809 · doi:10.4095/301671

Developing the bedrock layer for Canada 3-D: the Precambrian-Phanerozoic boundary

2017· report· en· W2909550809 on OpenAlexaffabout
E A de Kemp, E M Schetselaar, M. J. Hillier, R Montsion

Bibliographic record

Venuenot available
Typereport
Languageen
FieldEarth and Planetary Sciences
TopicGeological Studies and Exploration
Canadian institutionsNatural Resources Canada
Fundersnot available
KeywordsPrecambrianPhanerozoicBedrockGeologyPaleontologyBoundary (topology)Layer (electronics)CenozoicStructural basinChemistry

Abstract

fetched live from OpenAlex

One of the most significant tectonostratigraphic features of the geology of Canada is the boundary separating 'cover' rocks of the Phanerozoic Eon and older 'basement' rocks; dominantly metamorphic and crystalline rocks of the Precambrian shield. In the context of the Canada-3D initiative to develop a 3D geological model of Canada from the surface to the Moho, we have begun to integrate data constraints for modelling this boundary, including geological map, drillhole and seismic data. The 3D surface development is being undertaken through the application of data (geostatistical, implicit modelling (GOCAD/SKUA and SURFE) and knowledge (SPARSE) driven methods. More accurate 3D delineation of this key boundary will help support applications such as the separation of bulk rock properties into cover and basement classes which could in turn be used for geophysical and mineral potential modelling. Coupled with heat flow and fracture density estimates; it could also contribute to future development of national-scale 3D favourability maps for geothermal energy and CO2 sequestration potential. The project combines a large amount of data from various sources collected over the last 175 years since the initiation of geological mapping by the Geological Survey of Canada in 1842 by Sir William Logan. The Precambrian-Phanerozoic boundary is dominantly an angular unconformity between the crystalline bedrock of the Canadian Shield and Phanerozoic sedimentary cover sequences, spanning a hiatus of several hundreds of millions to more than two billion years. In rare cases such as the Rapitan Group in the Mackenzie Mountains, it is a more conformable stratigraphic contact between Neoproterozoic and Cambrian formations. There are also many parts of Canada's subsurface which have no geologic record of the boundary where the crust is mainly composed of either younger Paleozoic and Mesozoic mobile belts (Central Newfoundland and British Columbia), or exposed basement of the Precambrian Shield. The geological data that constrain the Precambrian-Phanerozoic interval are spatially heterogeneous, and vary in quality from excellent observations from petroleum wells in the Western Canada and Williston Basins, to less reliable well logs in Southern Ontario, to interpretive map traces in the overburden covered Hudson Bay low lands. Seismic reflection and refraction data from Lithoprobe and industry surveys will support deeper interpretations of the boundary, and be integrated with constraints obtained by geological mapping in the more complex regions of the Canadian Cordillera and Appalachian orogens. Canada-3D is modelling other tectonostratigraphic features (crustal scale fault networks and major lithostratigraphic horizons) within the bedrock layer, above and below the Precambrian-Phanerozoic boundary, but by focusing early on this significant boundary we gain insight to the data distribution, the required methodology and processing gaps that exist tackling this problem at a national scale. As the project proceeds there will be a need for development of 3D tools to support uncertainty estimation, sparse data interpolation and extension, and interpretation workflows designed to cope with the many challenges presented by limited sampling of complex geologic 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 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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.131
Threshold uncertainty score0.263

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.002

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 head0.103
GPT teacher head0.280
Teacher spread0.177 · 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
Published2017
Admission routes2
Has abstractyes

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