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Record W2583946950

Neural Effects of Nicotine during Auditory Selective Attention and the Stimulus-Filter Hypothesis: An Event-Related Potential Study

2007· article· en· W2583946950 on OpenAlexaboutno aff
Crystal M. Villeneuve, Dhrasti Shah, Adam Heenan, Kiley Bolton, Derek J. Fisher, Anne Millar, Judy McIntosh, Verner Knott

Bibliographic record

VenueeScholarship (California Digital Library) · 2007
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicNicotinic Acetylcholine Receptors Study
Canadian institutionsnot available
Fundersnot available
KeywordsStimulus (psychology)NicotinePsychologyCognitionCognitive psychologyNeuroscience
DOInot available

Abstract

fetched live from OpenAlex

Acute nicotine has been found to improve task performance in smokers; however, the attentional processes mediating these improvements are unclear.According to the stimulus-filter hypothesis, nicotine facilitates cognitive performance through the creation of a stimulus barrier, which screens out irrelevant stimuli and thus aids in the attending to relevant stimuli.Event-related potentials (ERPs) have been shown to be sensitive indicators of selective attention.The effects of acutely administered nicotine were examined on ERPs and concomitant behavioural performance measures in an auditory "oddball" task requiring selective attention.22 (11 males) nonsmokers received nicotine gum (6 mg) in a placebocontrolled, double-blind, randomized crossover design.In a

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.004
GPT teacher head0.210
Teacher spread0.206 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2007
Admission routes1
Has abstractyes

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