Bibliographic record
Abstract
Where do all these huge volumes of noritic magma come from, representing the dolerites found globally associated with the Gondwana event. Although differing in chemical detail from one province to another, they all have a strong quartz–dolerite affinity and commonly show a large concentration of orthopyroxene primocrysts. Noritic magma can be produced in the lower crust but it is dissimilar to the rift-related dolerites. This is exemplified by the massive magmatic event at Sudbury, Ontario where an impacting bolide 1.85 Ga ago produced ~ 35,000 km 3 of noritic magma in 3 minutes. Yet, a detailed chemical comparison of this magma with the Ferrar magmas shows a striking contrast on all counts. The Sudbury system shows no tight close variation in principal components as does the Ferrar. The Ferrar magmas, like other rift-related dolerites, are remarkable in their huge volumes, cohesive compositions, and relatively rapid generation and emplacement. The process giving rise to them cannot be tortuous and complex, but simple and straightforward, as in the production of the MORB of ocean ridges.
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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 | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.026 | 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; 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".