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Record W2140123274 · doi:10.1037/0893-164x.17.1.83

Brief report: Exaggerated ethanol-induced cardiac reactivity as an indicator of increased risk for gambling.

2003· article· en· W2140123274 on OpenAlexaff
Caroline Brunelle, Jean‐Marc Assaad, Robert O. Pihl, Richard E. Tremblay, Frank Vitaro

Bibliographic record

VenuePsychology of Addictive Behaviors · 2003
Typearticle
Languageen
FieldPsychology
TopicGambling Behavior and Treatments
Canadian institutionsUniversité de MontréalMcGill University
Fundersnot available
KeywordsPsychologyEthanolAddictionReactivity (psychology)PathologicalAlcoholHeart rateAlcohol dependenceCue reactivityAlcohol consumptionInternal medicinePsychiatryMedicineCravingChemistryPathology

Abstract

fetched live from OpenAlex

Pathological gambling and alcohol dependence show a high rate of co-occurrence. Some individuals at risk for alcohol dependence display an exaggerated heart rate (HR) increase following alcohol consumption, a characteristic suggesting sensitivity to reward. This study examined whether exaggerated ethanol-induced cardiac reactivity was associated with increased gambling behaviors. One hundred five young men (M = 20.13 years, SD = 1.07) consumed 1 ml of ethanol (95% volume) per kilogram of body weight. HR was measured and participants completed the South Oaks Gambling Screen (SOGS; H. R. Lesieur & S. B. Blume, 1987). Those with higher intoxicated HRs reported significantly greater scores on the SOGS (p = .02). This suggests that ethanol-induced HR increase is a possible marker for addictive disorders.

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 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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.085
GPT teacher head0.428
Teacher spread0.343 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations21
Published2003
Admission routes1
Has abstractyes

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