Implicit 3D modelling of geological surfaces with the Generalized Radial Basis Functions (GRBF) algorithm
Bibliographic record
Abstract
We summarize an interpolation algorithm, which was developed to model 3D geological surfaces, and its application to modelling regional stratigraphic horizons in the Purcell basin, a study area in the SEDEX project under the Targeted Geoscience Initiative 4 program. We developed a generalized interpolation framework using Radial Basis Functions (RBF) that implicitly models 3D continuous geological surfaces from scattered multivariate structural data. The general form of the mathematical framework permits additional geologic information to be included in the interpolation in comparison to traditional interpolation methods using RBF's such as: (1) stratigraphic data from above and below targeted horizons (2) modelled anisotropy and (3) orientation constraints (e.g. planar and linear).
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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.
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 teacher head, 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".