Necessity and rationale for the proposed name changes in the classification of Mollicutes species. Reply to: ‘Recommended rejection of the names Malacoplasma gen. nov., Mesomycoplasma gen. nov., Metamycoplasma gen. nov., Metamycoplasmataceae fam. nov., Mycoplasmoidaceae fam. nov., Mycoplasmoidales ord. nov., Mycoplasmoides gen. nov., Mycoplasmopsis gen. nov. [Gupta, Sawnani, Adeolu, Alnajar and Oren 2018] and all proposed species comb. nov. placed therein’, by M. Balish et al. (Int J Syst Evol Microbiol, 2019;69:3650–3653)
Bibliographic record
Abstract
This response summarizes the highly disordered state of the Mollicutes taxonomy that existed until recently, where most Mollicutes taxa lacked proper circumscriptions and their names were not in accordance with the International Code of Nomenclature of Prokaryotes and illegitimate. We also summarize the comprehensive phylogenomic and comparative genomic studies forming the basis for the proposed changes in the classification ofMollicultesspecies. Our responses to the concerns raised by Balishet al., show that the proposed taxonomic changes do not violate any essential point of the Code. Instead the proposed name changes rectify numerous taxonomic anomalies that have long plagued the classification of Mollicute s species, leading to a better understanding of their evolutionary relationships and bringing their nomenclature in conformity with the Code.
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 | 0.016 | 0.056 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.010 |
| Scholarly communication | 0.004 | 0.007 |
| Open science | 0.005 | 0.005 |
| Research integrity | 0.021 | 0.043 |
| Insufficient payload (model declined to judge) | 0.003 | 0.006 |
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".