SPECTROSCOPIC CHARACTERIZATION OF SYNTHETIC BECQUERELITE, Ca[(UO2)6O4(OH)6]{middle dot}8H2O, AND SWARTZITE, CaMg[UO2(CO3)3]{middle dot}12H2O
Bibliographic record
Abstract
Nous avons synthetise la becquerelite, Ca[(UO 2 ) 6 O 4 (OH) 6 ]8H 2 O, et la swartzite, CaMg[UO 2 (CO 3 ) 3 ]12H 2 O, et nous les avons identifiees par diffraction X, methode des poudres. Leur composition chimique a ete verifiee par analyses ICP-MS et AAS. Nous nous servons ici pour la premiere fois de la resolution temporelle de la spectroscopie de la fluorescence induite par laser (TRLFS) et la spectroscopie dans l'infrarouge avec transformation de Fourier (FTIR) pour caracterisr ces phases. Dans la becquerelite, il y a quatre bandes d'emission de fluorescence, a 518.9, 535.6, 553.4, et 578.9 nm, et une duree de fluorescence caracteristique de 3.1 ′ 0.2 μs. La swartzite fait preuve de six bandes d'emission de fluorescence caracteristiques, a 472.3, 488.9, 509.0, 531.1, 554.7, et 578.9 nm, et une duree de fluorescence de 59.4 ′ 0.1 μs. Les spectres FTIR de la becquerelite montrent une bande de vibration d'etirement assymetrique intense caracteristique (mode UO 2 2 + , ν 3 ) a 946 cm - 1 , avec satellites pres de 925 et 902 cm - 1 . Dans la swartzite, la bande caracteristique du mode UO 2 2 + ν 3 du cation uranyle se trouve a 898 cm - 1 . Les echantillons naturels de phases secondaires contenant U 6 + se presentent generalement sous forme de minces pellicules a la surface de roches ou de mineraux, ou bien comme composants de melanges avec d'autres solides. Il est donc difficile, en general, d'identifier ces materiaux en petites quantites. Les methodes spectroscopiques telles TRLFS et FTIR semblent prometteuses pour fins d'identification de telles phases secondaires.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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".