Bibliographic record
Abstract
Abstract Ei.ke.nel'la. M.L. dim. ending ‐ ella ; M.L. fem. n. Eikenella named after M. Eiken, who first named the type species of the genus. Straight rods, 0.3–0.4 × 1.5–04.0 µm, unbranched, with rounded ends and a regular morphology. Short filaments are occasionally formed. Nonsporeforming. Gram negative. Nonmotile , possessing no flagella; however, a “twitching motility” may occur on agar surfaces. Facultatively anaerobic . Optimal growth temperature, 35–37°C. Colonies may appear to corrode the surface of the agar ; noncorroding strains may also occur. Nonhemolytic; a slight greening of blood media around colonies may occur. Oxidase positive (Kovacs method). Negative for catalase , urease , arginine dihydrolase , and indole . Lysine‐decarboxylase positive . Nitrates are reduced to nitrites. No acid is formed from glucose or other carbohydrates . Hemin is usually required for growth under aerobic conditions . Occur in the human mouth and intestine; can be opportunistic pathogens. The mol % G + C of the DNA is : 56–58. Type species : Eikenella corrodens (Eiken 1958) Jackson and Goodman 1972, 75 ( Bacteroides corrodens Eiken 1958, 415.) Taxonomic and Nomenclature Notes According to the List of Prokaryotic names with Standing in Nomenclature (LPSN), the taxonomic status of the genus Eikenella is: correct name (last update, February 2025) * . LPSN classification: Bacteria / Pseudomonadati / Pseudomonadota / Betaproteobacteria / Neisseriales / Neisseriaceae / Eikenella The genus Eikenella can also be recovered in the Genome Taxonomy Database (GTDB) as g__Eikenella (version v220) ** . GTDB classification: d__Bacteria / p__Pseudomonadota / c__Gammaproteobacteria / o__Burkholderiales / f__Neisseriaceae / g__Eikenella * 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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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; a candidate call from one teacher head, 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".