Single step, rapid identification of pathogenic microorganisms in a culture bottle
Bibliographic record
Abstract
Efforts to treat bloodstream infections, which have a relatively high mortality rate, are delayed by the lengthy multi-step process required to identify the causative bacteria. Due to this delay, broad spectrum antibiotics are prescribed on a presumptive basis, leading to the rise of antibiotic resistant microorganisms. Here, as proof of principle, we describe a colourimetric sensor that rapidly identifies opportunistic pathogenic bacteria in a single step in TSB media. The device is composed of a reaction chamber and an array of chemoresponsive dyes deposited on a substrate in a prearranged pattern. This single step, disposable, automated system can detect and identify of eight strains of bacteria, starting with clinically relevant concentrations bacteria in twenty four hours in TSB media. Thus, this technology may be used to streamline the current blood culture process by combining detection and identification in a single step.
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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) | 0.000 | 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".