Evaluation of the Transfer of the TOL Plasmid Pseudomonas Putida to Groundwater-Derived Biofilms in a Model Rock-Fracture Aquifer
Bibliographic record
Abstract
Non-aqueous phase liquids (NAPLs) can become entrapped in subsurface rock fractures and become a long-term groundwater contaminant source. While remediation technologies exist, they can be expensive. Subsurface microorganisms can also degrade NAPLs trapped in the subsurface; however, this is a slow process. The possibility of enhancing microbial degradation of NAPLs via a plasmid transfer mechanism in a model rock fracture aquifer was explored. There was no indication that introduction of donor strain Pseudomonas putida SM1443::gfp2x-pWW0::dsRed into the model system led to transfer of the degradative TOL plasmid pWWO, or led to increased degradation of model NPL toluene. Plate matings with the donor strain and a groundwater-derived microbial consortium indicated that few potential recipients existed in the community. Nutrient concentration was ruled out as a limiting factor of plasmid transfer.
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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 | 0.001 |
| 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".