Crystal Chemistry of Fe-Sudoites From Uranium Deposits in the Athabasca Basin (Saskatchewan, Canada)
Bibliographic record
Abstract
Abstract Sudoites exhibit different crystal-chemical and textural properties which may be related to the structural and valence state of Fe. Mössbauer spectroscopic analysis shows that all Fe previously analyzed using a microprobe (from 1 wt.% to 7.2 wt.% total Fe as Fe2O3) is structural and occurs in both oxidation states (40% Fe2+and ∼60% Fe3+). Electron microprobe analyses from ∼200 sudoites indicate that Fe occurs in both octahedral sheets according to three main types of substitution: Fe3+= octahedral Al; Fe2+= Mg; and Fe3++ Fe2++ □ = 3Mg. Decreasing tetrahedral substitution balances Fe3+substitution in the trioctahedral sheet. Increasing octahedral Fe results in a more dioctahedral character of sudoite. X-ray diffraction (XRD), Fourier transform infrared (FTIR) spectroscopy, differential thermal analysis (DTA) and scanning electron microscope-transmission electron microscope (SEM-TEM) analyses showed that increasing octahedral Fe is associated with decreased stacking order and thermal stability due to the greater number of defects. In addition, with increasing octahedral Fe in sudoite, particles became smaller and more anhedral and consequently less stable with increasing Fe content. These structural and textural variations are interpreted as a result of the distortion of the sudoite structure by substitutions of Fe3+with larger ionic radii for Al and Mg octahedral cations and by the formation of octahedral vacancies.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".