Evaluation of the effectiveness of selected methodical approaches for disagregation of staphylococcal biofilm biomass
Bibliographic record
Abstract
Charles University Faculty of Pharmacy in Hradec Králové Department of Biological and Medical Sciences Subject of study: Bioanalytical laboratory diagnostics in healtcare Student: Bc. Martina Nosková Supervisor: RNDr. Klára Konečná, Ph.D. Title: Evalution of the effectiveness of selected methodical approaches for disagregation of staphylococcal biofilm biomass Background: Evaluation of the impact of selected biochemical and physical approaches on the disaggregation of the biofilm community formed by the bacterium Staphylococcus aureus. For the biochemical approach was chosen enzyme proteinase K, the impact of sonication, shaking with/without glass beads was studied within the physical approaches. Methods: Staphylococcal biofilm was formed in vitro in two methodical configurations - in the wells of a microtiter plate and on pegs (analogy to the Calgary Biofilm Device). To evaluate the degree of consistency of the obtained data, which reflects the homogenity of the biofilm biomass disaggeragation, the "recovery" method, and the method of metabolic activity evaluation, using the Alamar Blue indicator. To express the degree of effectiveness of the chosen approaches on the overall disaggregation of the biofilm community, the method of quantification of biofilm biomass by crystal violet staining was...
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".