Sorption of tetravalent U(IV) on MX-80 and granite in Ca-Na-Cl solutions under reducing conditions
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Uranium has been identified as an element of interest for the safety assessment of a deep geological repository (DGR) for used nuclear fuel. This paper studied the sorption behavior of tetravalent U(IV) onto MX-80 bentonite and granite in ionic strength 0.05 – 1 mol/kgw Ca-Na-Cl solutions at pH m of 4 – 10 (for MX-80 bentonite) and 4 – 9 (for granite) under reducing conditions. It was found that sorption of U(IV) on MX-80 gradually increased with pH m from 4 to 7 and then reached a sorption plateau. Sorption of U(IV) on granite increased with pH m dramatically from pH m 4 to 5 and then reached a sorption plateau. Sorption of U(IV) on both MX-80 and granite was not influenced by ionic strength of Ca-Na-Cl solutions. The sorption of U(IV) onto MX-80 and granite in Ca-Na-Cl solutions was successfully simulated by a 2 site protolysis non electrostatic surface complexation and cation exchange (2SPNE SC/CE) sorption model using four inner-sphere surface complexation reactions. Values of surface complexation reaction constant (log K 0 ) were optimized.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 it