A Qualitative Evaluation of the Effects Cleaning Products Have on the Bluestar Test for Latent Blood
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
In violent crimes, blood is one of the most common physical evidence that may be found. However, with the interest of forensic investigation being on the forefront for many years, criminals have become more knowledgeable about the necessity of cleaning their scene. Due to the attempted clean up, the effects of household chemical cleaners on presumptive tests might cause false positive or negative results. In order to assess this, cleaners (Clorox, Green Works, Lysol, and Windex) were used on floor surfaces (carpet, ceramic tile, and press-on vinyl tile), and their effects were qualitatively examined of on the Bluestar test for latent blood detection. This resulted in no effect by Windex and Green Works, a false-positive by Clorox, and a false-negative by Lysol.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.011 | 0.048 |
| 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 it