Preparation and Characterization of Rectorite Gels
Bibliographic record
Abstract
The mineral clay rectorite (REC) was used successfully to prepare ultralight gels by the simple process of freezing the aqueous gel precursor, exchanging the solvent (ice–ethanol), and performing ethanol drying rather than employing supercritical drying technology. The light bulk density of the rectorite (REC) gel was only 18.95 mg/cm 3 . Three-dimensional networks in REC gels were composed of REC sheets. Cationic guar gum could intercalate into the REC layers or attach on the REC surface and consolidate the REC gel networks. This novel porous REC gel material contained many macropores and a few mesopores. The REC gel could adsorb ethanol and soybean oil as much as 5.62 and 15.8 times the weight of the gel, respectively. In addition, the adsorptions of methylene blue dye and stearic acid (phase-change material) could reach 95.24 mg/g and 39.7 g/g, respectively. REC gels thus have potential for applications in wastewater treatment and thermal energy storage.
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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".