Nomenclature and Classification of the Arctite Supergroup.Aravaite, Ba2Ca18(SiO4)6[(PO4)3(CO3)]F3O, a New Arctite Supergroup Mineral from Negev Desert, Israel
Bibliographic record
Abstract
ABSTRACT The crystal structure of arctite, (Na5Ca)Ca6Ba(PO4)6F3 (Rm, a = 7.904 Å, с = 41.320 Å), was refined in 1984 by E. Sokolova. According to modern concepts, this mineral belongs to the intercalated antiperovskites and is characterized by intercalation of triple antiperovskite layers {[F3(Ca7Na5)](PO4)4}4+ and tetrahedral layers Ba(PO4)24–. The pyrometamorphic rocks of the Hatrurim Complex, which are distributed along the Dead Sea Rift, are the origin of eight new minerals with intercalated antiperovskite structures, all discovered within the last five years. Therefore, an update and improvement of the classification and nomenclature was required. The new classification of the arctite supergroup was approved by the CNMNC IMA (Memorandum 95–SM20). The arctite supergroup combines the arctite group (minerals with triple antiperovskite layers), which includes arctite, (Na5Ca)Ca6Ba(PO4)6F3; nabimusaite, KCa12(SiO4)4(SO4)2O2F; dargaite, BaCa12(SiO4)4(SO4)2O3; and ariegilatite, BaCa12(SiO4)4(PO4)2F2O, with the zadovite group (minerals with single antiperovskite layers), which includes zadovite, BaCa6[(SiO4)(PO4)](PO4)2F; aradite, BaCa6[(SiO4)(VO4)](VO4)2F; gazeevite, BaCa6(SiO4)2(SO4)2O; and stracherite, BaCa6(SiO4)2[(PO4)(CO3)]F. Another ungrouped member of the arctite supergroup is aravaite, Ba2Ca18(SiO4)6[(PO4)3(CO3)]F3O – a unique mineral which is formed by the ordered intercalation of super-modules of ariegilatite and stracherite. In addition, a description of aravaite as a new mineral is presented in this paper. The crystal structure has been previously published (Krüger et al. 2018). Furthermore, preliminary data for potentially new minerals of the arctite supergroup, found in rocks of the Hatrurim Complex, are discussed.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.006 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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".