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 of Mollicultes species. Our responses to the concerns raised by Balish et 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.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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; both teacher heads agree on what is shown here.
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".