RAPID DETECTION OF <i>FRANCISELLA TULARENSIS</i> BY THE IMMUNOAFFINITY ASSAY ABICAP IN ENVIRONMENTAL AND HUMAN SAMPLES
Bibliographic record
Abstract
ABSTRACT Francisella tularensis is the causative agent of tularemia, a severe zoonotic infectious disease. The natural reservoir of the bacteria is not yet known precisely, but it may persist for over a year in water or mud. It is naturally maintained and spread by various terrestrial and aquatic mammals, and outbreaks in humans are often paralleled by enzootics or epizootics. The reasons for this seem to be multifactorial, though not well understood. Therefore, for epidemiological and outbreak investigations, a rapid hand‐held assay would be helpful. Here we described a column‐based immunofiltration assay called ABICAP, which has several characteristics that permit its application under field conditions. The assay can be performed within 25 min, with a detection limit of 10 3 bacteria. Further validation of the assay included the analytical range, precision, detection limit and performance for different human, animal and environmental sample matrices, accuracy, recovery, reproducibility and stability. PRACTICAL APPLICATIONS The assay is an interesting tool applicable for the rapid detection of F. tularensis in various specimens under laboratory and field conditions. It can be used for the identification of reservoirs of F. tularensis in epidemiological studies, for the detection of sources of infection in outbreak situations of tularemia and in laboratory investigation of animal and human specimens. The methodological platform can be adapted to the detection of other microbiological agents and antigens.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 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) | 0.000 | 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".