A simple and rapid method for the differentiation and identification of thermophilic bacteria
Bibliographic record
Abstract
In total, 170 strains of thermophilic bacteria were isolated from deep-sea hydrothermal fields in the Pacific Ocean and a hot spring in Xiamen of China. To facilitate the identification of thermophilic strains, sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) of whole-cell proteins of these strains was first performed. The results showed that there exist four different protein patterns, indicating that the 170 strains might belong to four species or genera. The RAPD (random amplified polymorphic DNA) profiles of nine representative strains were consistent with those of SDS-PAGE. To further identify the species of the nine strains, their 16S rDNA sequences were analyzed. The results showed that the nine strains fell into four species of three genera, which was the same as revealed by SDS-PAGE. Therefore, SDS-PAGE of whole-cell proteins could be used as a rapid and simple method for the discrimination of thermophilic bacteria as the first step of species identification.
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".