Molecular Characterisation of an Arcanobacterium sp. Isolate from a Buffalo (Bubalus bubalis)
Bibliographic record
Abstract
The objective of the current investigation was to provide a comprehensive characterisation of an Arcanobacterium isolate derived from Bubalus bubalis. The confirmation of the species identity of Arcanobacterium sp. 15/M226/2/9 in this study was achieved by examining phenotypic characteristics and phylogenetic analysis. These analyses involved determining hemolysis on Columbia sheep blood agar and biochemical parameters using the Api-Coryne test kit, MALDI-TOF MS, and partial sequencing of the universal gene encompassing the 16S ribosomal RNA (rRNA) gene, the 16S-23S rDNA intergenic spacer region (ISR), and the two housekeeping genes rpoB and gap. Species classification based on sequencing of the 16S rRNA gene and the ISR revealed a sequence identity of 98.7% each between Arcanobacterium sp. 15/M226/2/9 and A. bovis reference strain C605018/01/1T. In addition, for the other target genes, rpoB and gap, the concordance was 96.6% and 98.8%, respectively. The present study showed that 15/M226/2/9 isolated from B. bubalis could be a novel species.
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.
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 | 0.001 | 0.001 |
| 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) | 0.000 | 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".