THE CRYSTAL STRUCTURE OF DELINDEITE, Ba2 )3(Ti,Fe)[Ti2(O,OH)4Si4O14](H2O,OH)2}, A MEMBER OF THE MERO-PLESIOTYPE BAFERTISITE SERIES
Bibliographic record
Abstract
By using a crystal from a new locality, the structure of delindeite has been refined to R = 0.054 for 703 unique reflections with I > 2σ ( I ). This titanosilicate [ideally Ba 2 {(Na,K,□) 3 (Ti,Fe)[Ti 2 (O,OH) 4 Si 4 O 14 ](H 2 O,OH) 2 }, space group A 2/ m , a 5.327(2), b 6.856(2), c 21.51(3) A, β 93.80(4)°, Z = 2, D calc. = 3.815 g/cm 3 , belongs to a large group of bafertisite-like structures characterized by an ideally octahedral ( O ) sheet sandwiched between two heteropolyhedral ( H ) sheets; these sheets are formed by Ti-octahedra and disilicate groups [Si 2 O 7 ]. The O sheet in delindeite comprises a large (Na,K) polyhedron together with octahedral Na and Ti sites; the alkali polyhedra are partially vacant. The large Ba cation is localized in the interlayer. Evidence of the leaching of alkalis, related atomic disorder, and the position of delindeite within the bafertisite polysomatic series are discussed. On the whole, this series is considered of mero-plesiotype. In fact, the heterophyllosilicate HOH layer, to a first approximation, represents the common module in this series, whereas the interlayer content is variable (merotypism), and may modify its structure in different members (plesiotypism).
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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".