New interpretive tools for three-dimensional structural geological modelling: Bézier-based curves, ribbons, and skeletons
Bibliographic record
Abstract
Interpreting the geometry of geological objects is a standard activity of field-based geologists. We present new graphics tools that will aid in extending standard methodologies for two-dimensional (2D) geological mapping into a three-dimensional (3D) environment. Much of the existing 3D geological modelling software supports the construction of objects with the input of dense control data. However, for regional mapping and mining exploration work, sparse data is the norm. Tools are required, therefore, that give the expert interpreter full control of the graphics objects, while at the same time being constrained to specific control data from field observations. We present the initial results of a software design and programming project for the visualization of complex regional-scale geological objects using Bézier-based graphics. In addition, we introduce the concept of a structural ribbon, which is an extended map trace, along with methods for the optimization of surface construction using graphical skeletons.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".