Multivariate data analysis of fluorescence signals from biological aerosols
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract This paper describes the use of multivariate data analysis of multiwavelength fluorescence measurements of biological aerosols collected by an air to liquid cyclone sampler. The enriched aerosol suspension was analyzed in a flow cell by a commercial spectrofluorometer at eight different wavelength combinations. The data were obtained from the disseminations of biological simulants at the 6th Joint Field Trials at Defence Research Establishment Suffield, Ralston, Alberta, Canada. The measurement concept was to use intrinsic biological fluorescence to distinguish between the different simulants as well as to distinguish them from interfering particles such as smoke and dust. Fluorescence data were analyzed using principal component analysis. © 2001 John Wiley & Sons, Inc. Field Analyt Chem Technol 5: 171–176, 2001
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.019 | 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 it