Rare Earth Elements in Ultramafic and Mafic Rocks and their Minerals: Minor and Accessory Minerals
Bibliographic record
Abstract
Garnets Brief survey of modern studies into the geochemistry of rare earth elements in garnets General regularity of REE distribution in garnets of the most common of their parageneses On the nature of sinusoidal chondrite-normalized REE patterns of garnets Coefficients of REE distribution between garnets and coexisting melts Coefficients of REE distribution between garnets and coexisting clinopyroxenes and other minerals Some crystal-chemical aspects of the REE isomorphism in garnets Chrome-spinels Ilmenites REE composition of ilmenites Coefficients of REE distribution between ilmenite and coexisting phases Zircons Key regularities of REE distribution in zircons from some types of magmatic and metamorphic rocks Coefficients of REE distribution between zircons and coexisting phases On the isomorphism of REE in zircons and conditions of their crystallization Apatites The REE composition of apatites The coefficients of REE distribution between apatite and melts as well as coexisting perovskites On isomorphism of REE in apatites Titanites Perovskites Micas Some general regularities of REE distribution in the minor and accessory minerals of ultramafic, mafic and some other rocks Geochemical relationship between REE and PGE in mafic and ultramafic rocks and their petrogenetic significance Mafic-ultramafic massifs in Tuva (Russia) Naransky massif (West Mongolia) Kokpektinsky massif (South Urals, Kazakhstan) Ultramafic xenoliths in alkaline basalts from Eifel and Vogelsberg provinces (Germany) Luobusa massif (Southern Tibet, China) Iti and Kallidromon massifs (Greece) Komatiite-basalt complex of North-West Vietnam Komatiite-basalt complexes of Gorgona Island (Colombia), Alexo (Ontario, Canada), Onverwacht, Barberton, Perseverance (Africa) and Kambalda (West Australia) provinces Bushveld massif (South Africa) Muskox massif (Canada) Galmoenan massif (Koryak highland, Russia) Conclusion References Subject index Author index
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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 | 0.003 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".