The Validity of Evidential Breath Alcohol Testing
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
ABSTRACTThe successful prosecution of drinking drivers under statutory limit laws ultimately must depend on scientifically sound results to prove the blood alcohol concentration of the offending driver. The great majority of these results are obtained by the measurement of alcohol in samples of breath from the driver. The scientific basis for evidential breath alcohol testing in well established. Experiments derived from a recognized scientific law in physics have proven the scientific validity of breath analysis to determine alcohol concentration in the blood. Instruments designed to measure breath alcohol content are based on technology that is capable of producing scientifically sound results. Like Canada, every country that embarks on evidential breath alcohol analysis subjects these instruments to a rigorous evaluation process. These processes determine whether the instruments meet the scientific standards for accuracy, precision, reliability and specificity. Moreover, to achieve scientifically sound results in operational use, user agencies must ensure that approved instruments are operated by qualified personnel using procedures based on good laboratory practice.This review covers the historical development of evidential breath alcohol analysis and its establishment as a legitimate means of measuring the concentration of alcohol in the blood of a suspected drinking-driver.
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 | 0.008 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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