Geo-Spatial Mapping of the Western Bushveld Rustenburg Layered Suite (Rls) in South Africa
Bibliographic record
Abstract
Trend surface analysis (TSA) was used to investigate the structure and thickness variation pattern and to resolve trend and residual component of the structure contours and isopach maps of the Rustenburg Layered Suite (RLS) across the Bushveld Igneous Complex (BIC). The TSA technique was also employed in extracting meter scale structures from the regional structural trends. This enables small-scale structures that could only be picked through field mapping to be observed and scrupulously investigated. Variation in the structure and thickness was used in timing the development of some of the delineated structural features. This has helped to unravel the progressive development of structures within the RLS. The results indicate that present day structures shows slight changes in both regional and local trends throughout the stratigraphic sequence from the base of the Main Zone to the top of the Achaean floor. Structures around the gap areas are also highlighted. This paper represents the third of a three-part article in Trend Surface analysis of the three major limbs of the Bushveld Igneous Complex (BIC). This first part focused on the Northern Bushveld Complex, while the second part focused on the Eastern Bushveld Limbs.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".