Bibliographic record
Abstract
Abstract Beij.e.rinck.i.a.ce'ae. N.L. fem. n. Beijerinckia type genus of the family; ‐ aceae ending to denote family; N.L. fem. pl. n. Beijerinckiaceae the Beijerinckia family. The family Beijerinckiaceae accommodates Gram‐negative, aerobic, non‐spore‐forming, moderately acidophilic bacteria, which divide by binary or irregular fission. Most family members produce polysaccharide capsules, form poly‐β‐hydroxybutyrate granules, and are capable of fixing dinitrogen. They are mesophilic and psychrotolerant bacteria. The major fatty acid is C 18:1 ω7 c . Members of this family display extremely versatile metabolic types including chemoheterotrophs, facultative methylotrophs, facultative and obligate methanotrophs, and anoxygenic phototrophs. All genera in this family include representatives with C1 metabolic capabilities. Habitats are acidic wetlands and soils. DNA G + C content (mol%) : 54.7–65.3. Type genus : Beijerinckia Derx 1950, 145 AL . Taxonomic and Nomenclature Notes According to the List of Prokaryotic names with Standing in Nomenclature (LPSN), the taxonomic status of the family Beijerinckiaceae is: correct name (last update, April 2026) * . LPSN classification: Bacteria / Pseudomonadati / Pseudomonadota / Alphaproteobacteria / Hyphomicrobiales / Beijerinckiaceae The family Beijerinckiaceae can also be recovered in the Genome Taxonomy Database (GTDB) as f__Beijerinckiaceae (version v232) ** . GTDB classification: d__Bacteria / p__Pseudomonadota / c__Alphaproteobacteria / o__Rhizobiales / f__Beijerinckiaceae * Freese , H.M. , Meier‐Kolthoff , J.P. , Sardà Carbasse , J. , Afolayan , A.O. , Göker , M. ( 2026 ). TYGS and LPSN in 2025: a Global Core Biodata Resource for genome‐based classification and nomenclature of prokaryotes within DSMZ Digital Diversity. Nucleic Acids Res , 54 (), D884 – D891 ; doi: 10.1093/nar/gkaf1110 ** Parks , D.H. , Chaumeil , P.‐A. , Mussig , A.J. , Rinke
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.091 | 0.032 |
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".