Bibliographic record
Abstract
This is a study of the effectiveness of the built-in acetone correction procedure, in measuring blood alcohol concentrations, using the Intoxilyzer® 5000C. Measurements of headspace vapours of alcohol standards and alcohol-acetone mixed standards delivered from simulators were taken using Intoxilyzer® 5000C. The alcohol concentrations in the aqueous solutions used were such that the target value of headspace vapour would be 0, 50, 100, 150 and 200 milligrams (mg) of alcohol/100 millilitres (mL) of solution. Acetone concentrations in the solutions were 0, 1, 3, 5, 10, 25, 32, 34, 35, 40, 100 and 500 mg/100 mL. Measurements were repeated 15 times and the error message (“INTERFERENT” or “INVALID SAMPLE”), if any, was noted in each case. The “INTERFERENT” message consistently appeared above the calibration level, 35 mg/100 mL of acetone in the solution. Even when the “INTERFERENT” message appeared, the headspace alcohol concentration measured was accurate within ± 10 mg/100 mL. The Intoxilyzer® 5000C yields accurate blood alcohol measurements in the presence of acetone up to 100 mg/100mL.
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.
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 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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".