Relationships between the tectonic evolution of an orogen and the formation of polymetallic vein deposits 
Bibliographic record
Abstract
The Caledonian-Appalachian Belt (CAB) hosts several economic and sub-economic polymetallic vein systems and is, therefore, an excellent natural laboratory to study the variations in the characteristics of ore deposit and the timing of their formation, within an orogenic belt. We present some of the preliminary outcomes of a large-scale study on the variability of the vein-hosted mineralisation within the CAB, covering c. 20 different polymetallic vein systems within the Grampian Terrane and its equivalents in Scotland, Northern Ireland, Ireland and Newfoundland.The multi-disciplinary study combines structural data, age determinations, vein textural mapping and paragenetic interpretation, gold geochemical characterisation, and stable isotope data to show that although the occurrences show many superficial structural and mineralogical similarities, there are significant differences between the structural styles, mineralogy and timing of the mineralisation in different areas (see [1] and [2] for the first publications coming from this work). At least three, possibly four, distinct mineralisation stages are identified between Ordovician and Early Devonian, each associated with a characteristic structural style that can be linked to the overall tectonic evolution of the Grampian Terrane. The tectonic evolution of the orogen in time and space therefore greatly influenced both the timing and the style of mineralisation.References:[1] Shaw J, Torvela T, Cooper M, Leslie G, Chapman R (2022). A progressive model for the Cavancaw Au-Ag-Pb vein deposit, Northern Ireland, and implications to the metallogeny and evolution of the Grampian Terrane. J. Struct. Geol. 161, https://doi.org/10.1016/j.jsg.2022.104637.[2] Chapman R., Torvela T, Savastano L (2023). Insights into regional metallogeny from detailed compositional studies of alluvial gold: An example from the Loch Tay area, central Scotland. Minerals 13, doi.org/10.3390/min13020140.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".