Revisiting the Chemistry and Crystal Structure of Sveite
Bibliographic record
Abstract
Abstract Sveite, KAl7(NO3)4(OH)16Cl2·8H2O, is a rare, water-soluble mineral with an undetermined atomic structure. New major, minor, and trace element data for sveite from three localities (Cerro Autana Cave, Venezuela; San Joaquin Valley, USA; Ponta Grossa, Brazil) are reported using modern analytical techniques (inductively coupled plasma-optical emission spectrometry, inductively coupled plasma-mass spectrometry, and ion chromatography). Powder X-ray diffraction, micro-X-ray diffraction, and scanning electron microscopy-energy dispersive X-ray spectroscopy are used to characterize the identity of residues following digestions of different strengths, i.e., ultrapure H2O, 2%, 20%, and concentrated HCl acid. Sveite from Venezuela has approximately 3 wt.% more K and 5 wt.% less Al than reported by Martini (1980), and that from California has 20 wt.% less Al than was reported by Graham et al. (1988). Sveite from California has higher N (∼8 wt.%) and lower K (4.5 wt.%), Al (∼12 wt.%), and Cl (∼0.5 wt.%) contents compared to that from Venezuela (∼6 wt.% N, ∼7 wt.% K, ∼15 wt.% Al, and ∼10 wt.% Cl contents). Sveite from Brazil has extremely low K (<0.1 wt.%) and high N (∼24 wt.%) contents with respect to those from the other localities. To inhibit formation of aluminum chloride on dissolution, which can subsequently impact results from geochemical analyses, it is recommended that ultrapure H2O be used to digest sveite. Geochemical and spectroscopic evidence suggests that sveite from different localities may represent distinct mineral species within a potentially larger group of sveite-type minerals. A revised chemical formula for sveite from Venezuela is K2.73Al7.97(NO3)6O8.27Cl4.1·35H2O, Z = 2, leading to a more general formula of (K3−x□x) Al8(NO3)6O8Cl4·nH2O, Z = 2. The lack of K and Cl in material from other localities that shows similar powder diffraction patterns would require a more general formula.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".