Atlantic Geoscience Society Abstracts: 45th Annual Colloquium & General Meeting 2019
Bibliographic record
Abstract
Granitoid rocks (sensu lato) are the crustal legacies of thermal disturbances that initiate melting in the mantle and along the base of the crust. Buoyancy contrasts and the exploitation of favorable structures facilitate the upward transport of magma and the assembly of large, composite batholiths. Despite more than a century of research, their origin, melting duration, influence of magma source(s), mode(s) of emplacement, and the relationship to orogenic events remain poorly understood. Traditionally, the study of granitoid batholiths used a combination of field relationships, whole-rock geochemistry, and entire-mineral dating. However, important petrogenetic questions were not resolvable with the techniques available. The advent of new petrochronological (determination of how rocks or minerals grow with time) and micro-beam analytical techniques provide data with a high spatial resolution for unravelling the evolution of complex igneous systems. Micro-beam methods permit the rapid collection of "timestamped", isotopic and geochemical datasets with the ability to document geological variability at the micron scale in minerals. Evaluating how the isotopic and trace element compositions evolve will elucidate the sources and processes operating during batholith emplacement. The Silurian to early Devonian Donegal batholith is a classic example in Ireland of a composite batholith emplaced over ca. 30 myr. Emplacement of the batholith resulted from episodic magma pulses following oceanic slab failure (break-off) after the Iapetus Ocean closed during the Ordovician. New in-situ LA-ICP-MS zircon U-Pb geochronological data and in-situ LA-ICP-MC-MS zircon hafnium isotopic data, in addition to complementary whole-rock geochemical and petrographic data, provide important petrogenetic information about the magma sources and processes that were active during the assembly of the Donegal batholith.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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 | 0.012 |
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; both teacher heads agree on what is shown here.
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".