Monoclonal Antibodies Binding to Lipopolysaccharide from the Beer-Spoilage Bacterium <i>Megasphaera Cerevisiae</i> Exhibit Panreactivity with the Strictly Anaerobic Gram-Negative Brewing-Related Bacteria
Bibliographic record
Abstract
Four mouse hybridomas were isolated that secrete monoclonal antibodies (Mabs) showing surface reactivity for isolates across the three defined serogroups of the strictly anaerobic Gram-negative beer-spoilage bacterium Megasphaera cerevisiae. These Mabs also were found to react with surface-accessible antigens on the other strictly anaerobic Gram-negative brewing-related bacteria in the genera Pectinatus, Propionispira, and Selenomonas. In each case, the target antigen was the bacterial lipopolysaccharide (LPS), with the four Mabs recognizing at least two different antigenic binding sites. Owing to their panreactivity with surface-accessible LPS on the strictly anaerobic Gram-negative brewing-associated bacteria, such Mabs can prove useful in fluorescent immunoassay monitoring of these bacteria in the brewery setting.
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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 | 0.000 | 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) | 0.002 | 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".