Methodology for construction of Vulcan model of the Saltby Volcanic Formation, DGSM Nottingham-Melton project
Bibliographic record
Abstract
The object of constructing the Vulcan model was to create a quantitative 3-D visualisation of \nthe concealed Saltby Volcanic Formation (SVF) (Carboniferous) within the area covered by \nthe Nottingham and Melton Mobray 1:50 000 scale geological sheets (Nos. 126 and 142) \nwhich forms part of the current (2003) DGSM Nottingham-Melton Project. The model was \nnot intended to be a structural geological representation; rather, a lithostratigraphic \nvisualisation 'normalised' to an arbitrary horizon related to the (near) time-plane represented \nby the A. vanderbeckei Marine Band. This is a common concept in 2-D stratigraphic crosssections \nand fence diagrams, but an unusual application for the Vulcan 3-D modelling \nsoftware. Once complete, the model would allow fully interactive rotation, visualisation and \ndynamic cross-sectional slicing in any orientation. \nThe Vulcan model was developed in three versions from interpretations of borehole \ngeophysical logs. Initially 8 boreholes were used, but as digitised geophysical logs from \nadditional boreholes became available, successive Vulcan models were developed using 13, \nand finally, 26 boreholes. The modelling methodology was refined in each version, building \non what had gone before but, as later versions included boreholes situated within the \nenvelope area of the previous versions, the earlier Vulcan models were not retained.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.033 | 0.005 |
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".