Classification of Bacteria Nodulating Lathyrus japonicus and
Bibliographic record
Abstract
The diversity of two populations of rhizobia isolated from Lathyrus japonicus (30 strains) and Lathyrus pratensis (49 strains) growing in northern regions of Quebec, Canada, was determined on the basis of phenotypic characteristics, multilocus enzyme electrophoresis, DNA-DNA homology, and 16S ribosomal DNA sequencing. According to numerical analysis of phenotypic characteristics, strains were divided into four groups. Strains isolated from L. pratensis fell in groups I to III; the latter included reference strains of Rhizo-bium leguminosarum. All strains isolated from L. japonicus were included in group IV. All strains had nodu-lation characteristics similar to those of R. leguminosarum bv. viciae. Strains isolated from L. japonicus originating from an arctic region were usually able to grow at 5&C and were more likely to be tolerant to copper (CuCl2 z H2O, 100 mg/ml) and lead [Pb(CH3COO)2, 500 mg/ml] than strains isolated from L. pratensis from a boreal zone. However, both populations of Lathyrus strains were adapted to the cold in comparison to reference strains from temperate regions. Each population had similar genetic diversity (H 5 0.45), deter-mined by multilocus enzyme electrophoresis of the loci encoding eight enzymes, but the diversity obtained by analyzing all strains including the reference strains (H 5 0.58) was higher. Representative strains of both populations showed high levels of DNA homology among themselves and with R. leguminosarum. Partial sequences of the 16S ribosomal RNA genes were similar to those reported for R. leguminosarum bv. viciae. We
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 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".