Bibliographic record
Abstract
The crystal structure of an isotropic, single phase, Ti-rich schorlomite garnet, ideally Ca 3 Ti 4+ 2 (Fe 3+ 2 Si)O 12 , from Magnet Cove, Arkansas was refined with the Rietveld method, space group $Ia\overline 3 d$ , and monochromatic synchrotron high-resolution powder X-ray diffraction data. Electron-microprobe analysis gave an average composition {Ca 2.92 Na 0.04 Mn 2+ 0.03 Mg 0.01 } Σ3 [Ti 1.04 Fe 3+ 0.46 Mg 0.18 Fe 2+ 0.16 Zr 4+ 0.13 V 3+ 0.04 ] Σ2 (Si 2.21 Fe 3+ 0.71 Al 0.07 ) Σ3 O 12 , and corresponds to the general garnet formula of [8] X 3 [6] Y 2 [4] Z 3 [4] O 12 . Schorlomite is the dominant component, but the composition contains significant amounts (>15 mol.%) of andradite, Ca 3 (Fe 3+ 2 )Si 3 O 12 , morimotoite, Ca 3 (Ti 4+ Fe 2+ )Si 3 O 12 , and morimotoite-(Mg), Ca 3 (Ti 4+ Mg)Si 3 O 12 . The crystal structure model was refined well using isotropic and anisotropic displacement parameters. Using isotropic displacement parameters, the χ 2 and R ( F 2 ) Rietveld refinement values are 1.148 and 0.0742, respectively. The unit-cell parameter, a = 12.18599(1) (Å), is large for a natural schorlomite for which complete structural data are available. The bond distances are average = 2.4461, Ti–O = 2.0085(5), Si–O = 1.7022(5) Å, and site occupancy factors ( sofs ) for Ca( sof ) = 0.963(1), Ti( sof ) = 1.045(1), and Si( sof ) = 1.150(2). Comparison of schorlomite data from the type locality in Magnet Cove with morimotoite from Ice River, Canada and the type locality in Japan show that they are quite similar and cast doubts as to morimotoite being different from schorlomite.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.004 | 0.007 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".