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Record W2112594656 · doi:10.1093/jat/25.2.112

The Effect of Swallowing or Rinsing Alcohol Solution on the Mouth Alcohol Effect and Slope Detection of the Intoxilyzer 5000

2001· article· en· W2112594656 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Analytical Toxicology · 2001
Typearticle
Languageen
FieldMedicine
TopicAlcohol Consumption and Health Effects
Canadian institutionsHealth Sciences CentreAdvantage Forensics (Canada)
Fundersnot available
KeywordsSwallowingAlcoholAnesthesiaMedicineChemistryDentistryBiochemistry

Abstract

fetched live from OpenAlex

Nine female and 21 male alcohol-free subjects introduced 10 mL of diluted gin (20% v/v alcohol) into their mouths under two conditions. The subjects either rinsed the alcohol for 10 s and then expectorated or immediately swallowed. They then provided breath samples into an Intoxilyzer 5000 at 5 and 10 min postadministration for both conditions. The mean Intoxilyzer results plus or minus one standard deviation (n = 30) were 0.091+/-0.051; 0.036+/-0.027; 0.014+/-0.011, and 0.004+/-0.006 g/210 L for 5 min after rinsing, 5 min after swallowing, 10 min after rinsing, and 10 min after swallowing, respectively. The percentages of times that mouth alcohol was correctly detected by the Intoxilyzer 5000 were 90%, 66%, 62% and 30% for these conditions, respectively. Ten minutes after the introduction of alcohol into the mouth, 63% of the Intoxilyzer results were > 0.010 g/210L after rinsing compared with only 7% after swallowing. The mouth alcohol effect is greater for rinsing than for swallowing alcohol.

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 imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.595
Threshold uncertainty score0.398

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.064
GPT teacher head0.377
Teacher spread0.313 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it