Bioremediation of highly energetic compounds: a search for remediation technologies
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
When TNT (N-source) was treated with anaerobic sludge it biotransformed into triaminotoluene (TAT) in high yield (80%). Results of experiments using 13C-labeling indicate that denitrated or deaminated products such as p-cresol and toluene were not formed. Whereas 14C-labeling showed negligible mineralization (<0.1% 14CO2) despite the complete disappearance of TNT. On the other hand, when TNT (175 μM) was treated with the fungus Phanerochaete chrysosporium it disappeared completely in less than two weeks, but mineralization (liberated 14CO2) did not exceed 1%. Several intermediates, marked with the initial formation of the two monohydroxylamino-dinitrotoluene (HADNT) followed by their transformation to monoamino-dinitrotoluenes (ADNT), diamines (DANT), acetylated TNT products, and azo and hydrazo derivatives were detected. In contrast, high concentrations (ca 20,000 ppm) of RDX and HMX were effectively degraded (ca 70%) in soil slurries using municipal anaerobic sludge. RDX and HMX disappearance was accompanied by the elimination of toxicity associated with RDX and HMX as determined by the Microtox test.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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