Bibliographic record
Abstract
Abstract Fi'bro.bac'ter. L. fem. n. fibra fiber or filament in plants or animals; N.L. masc. n. bacter rod or staff; N.L. masc n. Fibrobacter bacterial rod that subsists on fiber. Cells are rod‐shaped (0.3–0.5 µm × 0.8–1.6 µm) or ovoid (0.8–1.6 µm × 0.8–1.6 µm). Obligately anaerobic non‐sporing and not detectably motile by microscopy. They are able to migrate through agar when growing on cellulose, suggesting a gliding form of motility. Ferment a narrow range of carbohydrates including glucose, cellobiose, and cellulose. Other sugars including lactose or maltose are fermented by a few species. The fermentation products are acetate and succinate, and sometimes formate at low levels. Cells require CO 2 , straight‐chain and branched‐chain fatty acids in the media as well as ammonia as the N source. Membranes are composed of straight‐chain fatty acids, and phospholipids are predominantly ethanolamine plasmalogens. Habitat is the mammalian gastrointestinal tract. DNA G + C content ( mol %): 45–51. Type species : Fibrobacter succinogenes Montgomery, Flesher and Stahl 1988, 434 VP . Taxonomic and Nomenclature Notes According to the List of Prokaryotic names with Standing in Nomenclature (LPSN), the taxonomic status of the genus Fibrobacter is: correct name (last update, February 2025) * . LPSN classification: Bacteria / Pseudomonadati / Fibrobacterota / Fibrobacteria / Fibrobacterales / Fibrobacteraceae / Fibrobacter The genus Fibrobacter can also be recovered in the Genome Taxonomy Database (GTDB) as g__Fibrobacter (version v220) ** . GTDB classification: d__Bacteria / p__Fibrobacterota / c__Fibrobacteria / o__Fibrobacterales / f__Fibrobacteraceae / g__Fibrobacter * 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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.030 | 0.019 |
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".