Antibiotic resistance genes as an emerging environmental contaminant
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
Emerging contaminants, including pharmaceutical and personal care products, are receiving considerable attention owing to their potential to negatively impact the environment and to pose risks to human health. The widespread use of antibiotics and their fate and transport in the environment pose further risks with respect to public health and the development of antibiotic resistant organisms (AROs). While the occurrence of AROs is important, there is increasing interest in antibiotic resistance genes (ARGs). An urgent need exists to improve our understanding of the mechanisms associated with the spread and development of ARGs in both clinical and veterinary settings, the human body (gastrointestinal tract and microbiome) as well as in engineered (wastewater treatment plants) and natural (soil, sediments and water) environments. This review focuses on ARGs as an emerging environmental contaminant. The factors and mechanisms involved in ARG dissemination in a variety of environments are explored in detail. The unique challenges of ARGs with respect to policy-making and environmental monitoring are identified, and recommendations regarding how these challenges might be addressed are provided.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.013 | 0.029 |
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