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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".