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Involvement of Acetaldehyde in Alcohol Addiction

2002· article· en· W2172190860 on OpenAlex
William J. McBride, Ting‐Kai Li, Richard A. Deitrich, С. М. Зиматкин, Brian R. Smith, Zachary A. Rodd‐Henricks

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueAlcoholism Clinical and Experimental Research · 2002
Typearticle
Languageen
FieldNeuroscience
TopicNeurotransmitter Receptor Influence on Behavior
Canadian institutionsConcordia University
FundersNational Institute on Alcohol Abuse and Alcoholism
KeywordsAcetaldehydeAddictionVentral tegmental areaEthanolAlcohol addictionPsychologyAlcoholNeurosciencePsychoanalysisChemistryBiochemistryDopamine

Abstract

fetched live from OpenAlex

This article presents the proceedings of a symposium at the 2001 RSA Meeting in Montreal, Canada. The organizers and chairs were William J. McBride and Ting-Kai Li. The presentations were (1) Metabolism of ethanol in the brain and the behavioral consequences, by Richard A. Deitrich and Sergey Zimatkin; (2) Catalase production of acetaldehyde as a possible mediator of the psychopharmacological effects of ethanol, by Brian R. Smith; (3) The reinforcing actions of acetaldehyde in the ventral tegmental area, by Zachary A. Rodd-Henricks; and (4) Salsolinol and alcohol addiction, by William J. McBride.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.034
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.373
GPT teacher head0.486
Teacher spread0.113 · 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