Induction of resistance in <i>Mycobacterium smegmatis</i>
Bibliographic record
Abstract
In this work, we assayed the ability of newly prepared indolizine derivates (epimers) 6C and 6A to inhibit the growth of Mycobacterium smegmatis and used them for resistance induction. 6A inhibited the growth of M. smegmatis at a concentration of 100 μg/mL. No inhibitory effect was observed in the presence of 6C. By incubating the bacteria with 6C and 6A, colonies resistant to 6A were observed. Finally, 37 stable resistant strains were isolated. These resistant strains were able to grow on a 5-fold higher concentration of 6A (500 μg/mL) than the minimal inhibitory concentration of the wild type (100 μg/mL), with no growth inhibition. Resistant strains were then tested for cross-resistance to other antibiotics: ampicillin, tetracycline, ciprofloxacin, chloramphenicol, gentamicin, and streptomycin. Determinations of resistance patterns to 6 antibiotics revealed 36 strains that were resistant to at least one drug.
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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 | 0.001 |
| 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".