<i>Thermotogales</i>
Bibliographic record
Abstract
Abstract Ther.mo.to.ga'les. N.L. fem. n. Thermotoga type genus of the order; ‐ ales ending to denote an order; N.L. fem. pl. n. Thermotogales , the order of Thermotoga. The members of the order Thermotogales are sheathed, thermophilic or hyperthermophilic, strictly anaerobic, fermentative, and hydrogen‐producing bacteria. This is the only order of the Thermotogota phylum that contains hyperthermophilic members. The separation of Thermotogales from other Thermotogota orders, and the division of Thermotogales into two families is supported by phylogenetic analysis of 50 concatenated ribosomal proteins and the presence of shared conserved signature indels. The Thermotogales encompasses two families: Thermotogaceae, which includes the genera Thermotoga and Pseudothermotoga, and Fervidobacteriaceae, which consists of the genera Thermosipho and Fervidobacterium. Type genus : Thermotoga Huber et al. 1986, VL22, emend. Bhandari and Gupta 2014. Taxonomic and Nomenclature Notes According to the List of Prokaryotic names with Standing in Nomenclature (LPSN), the taxonomic status of the order Thermotogales is: correct name (last update, February 2025) * . LPSN classification: Bacteria / Thermotogati / Thermotogota / Thermotogae / Thermotogales The order Thermotogales can also be recovered in the Genome Taxonomy Database (GTDB) as o__Thermotogales (version v220) ** . GTDB classification: d__Bacteria / p__Thermotogota / c__Thermotogae / o__Thermotogales * Meier‐Kolthoff et al. ( 2022 ). Nucleic Acids Res , 50 , D801 – D807 ; DOI: 10.1093/nar/gkab902 ** Parks et al. ( 2022 ) Nucleic Acids Res , 50 , D785 – D794 ; DOI: 10.1093/nar/gkab776
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.213 | 0.172 |
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".