Gravity and magnetic models of the Iron Mask Batholith, south-central Canadian Cordillera, British Columbia
Bibliographic record
Abstract
Cross-sectional crustal models of the Late Triassic to Early Jurassic dioritic Iron Mask and Cherry Creek plutons forming the Iron Mask batholith are derived from integrated modelling of correlative prominent gravity and magnetic anomalies. A model for the Iron Mask pluton, comprising two block-like density units (2880 kg/m3, 2955 kg/m3), indicates a pluton depth of about 5700 m, and lateral extensions northward and southward below adjacent Nicola Group volcanic cover. The densities are more typical of gabbros than diorites, suggesting compositional changes to gabbroic rocks at depth. Magnetic modelling indicates the density units include several steep and strongly magnetic sheet-like units. The Cherry Creek pluton is associated with a prominent magnetic high, but lacks a gravity counterpart. A magnetic model, with a maximum depth of 5700 m, indicates marginal areas comprising vertical, relatively deep, and strongly magnetic sheets, with the pluton thinning centrally to less than 1000 m. A similar shallower (maximum depth of 2850 m) model can also reproduce the magnetic signature. In order not to produce a conspicuous gravity high, the density of the pluton must be less than about 2770 kg/m3, for either deep or shallow model. North of the Iron Mask pluton, two large dioritic bodies buried mainly within units of Nicola Group rocks are modelled to explain conspicuous gravity highs. To the south, a large gravity low (-33 mGal amplitude) is modelled in terms of a large granitoid body descending to about 9700 m below surface, potentially representing an enlargement of a granodiorite body within the Nicola Horst.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".