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Record W4368232309 · doi:10.4095/331348

Canada in 3D (C3D) the next generation view of the geology of Canada

2023· report· en· W4368232309 on OpenAlexaffabout
D Paul, E A de Kemp, M R St-Onge

Bibliographic record

Venuenot available
Typereport
Languageen
FieldEarth and Planetary Sciences
TopicGeological Modeling and Analysis
Canadian institutionsNatural Resources Canada
Fundersnot available
KeywordsVariety (cybernetics)BedrockGeological surveyThe InternetScale (ratio)Internet portalWeb siteComputer scienceLibrary scienceWorld Wide WebGeologyEarth scienceGeographyCartographyPaleontology

Abstract

fetched live from OpenAlex

The Canada in 3D (C3D) National Geological Surveys Committee (NGSC) project web portal (https://canada3d.geosciences.ca/) is reported on in this video. A less than ten-minute video summarizes the vision, key purpose and goals of C3D with the portal development and highlights some use cases for mineral exploration with regional scale 2D and 3D maps and models. The portal represents the Phase -1 stage of development with a north of 60o bedrock compilation, query capability and numerous supporting internet links to GEM, TGI program and C3D publications, and the initial renderings of 3D models from a variety of projects. Please visit the web portal for more details. The C3D portal is an ongoing project of the NGSC-C3D project, hosted by the Open Geoscience program of the Geological Survey of Canada. It will be periodically updated, with new geoscience information and enhanced as new web services technology evolves.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.113
Threshold uncertainty score0.379

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.007
Science and technology studies0.0040.001
Scholarly communication0.0050.002
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.1130.023

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 head0.117
GPT teacher head0.242
Teacher spread0.125 · 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 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

Citations0
Published2023
Admission routes2
Has abstractyes

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