A semi-selective differential medium for identifying strains of <i>Pantoea</i> from environmental samples
Bibliographic record
Abstract
The genus Pantoea of the Erwinaceae is a genetically and metabolically diverse group whose representatives span a broad range of clinical and nonclinical environments. We sought to develop a culturing medium to facilitate the identification of Pantoea from environmental samples, and to distinguish its members from other closely related Gram-negative genera. We developed a semiselective differential medium, Pantoea Differential Medium (PDM), which contains crystal violet, sodium citrate, tryptone, as well as protease peptone. The efficacy of the medium was evaluated by assessing the growth and phenotype of 42 bacterial strains, including 18 strains of Pantoea along with other representatives of the Enterobacterales. All Pantoea strains, as well as Kosakonia sp. and Duffyella gerundensis formed orange-yellow pigmented colonies on the medium, while all other representative members of the Enterobacterales evaluated formed purple to pink colonies. The medium was also used to distinguish Pantoea from other bacteria in mixed cultures from environmental samples, with 44 of the 48 orange-yellow colonies being identified as members of Pantoea. PDM provides a means for rapidly identifying members of Pantoea from environmental samples, and differentiating them from many of the closely related members of the Erwiniaceae.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".