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Record W2804067358 · doi:10.1017/s031716710005246x

SLEEPMEDICINE. 1999. Edited by Michael Aldrich. Published by Oxford University Press, Inc. 382 pages C$176.00 approx.

2000· article· en· W2804067358 on OpenAlexaffvenue
Miguel A. Cortez

Bibliographic record

VenueCanadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques · 2000
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicDiverse Scientific and Economic Studies
Canadian institutionsToronto Public Health
Fundersnot available
KeywordsApproxArtLibrary scienceComputer scienceOperating system

Abstract

fetched live from OpenAlex

This book gives a comprehensive account on studies in the effect of alcohol on the developing brain.Every chapter is clearly written with a good summary which explains the current status of knowledge related to the topic.The first two chapters discuss the deleterious effects of alcohol on the structural and neuropsychological development of the brain as well as the risk factors for brain damage.This leads naturally into the next chapter on studies in neuroplasticity.The following chapters on temporal windows of vulnerability, modulation of GABA receptor-gated ion channels, as well as genetics leave many open-ended questions.Based on animal models, the next four chapters have more clinical relevance which might provide more insight into adolescent drinking problems, alcohol deprivation, alcohol transfer to milk and its interaction with infants, as well as the alteration of drug responsiveness in infants by alcohol.There still exists a question of how to relate these animal studies to humans.The chapter on treating individuals with alcohol problems, though well-written, is somewhat incongruous in the context of this book.There is a large jump from various animal studies on alcohol-related neurodevelopmental disorders to practical rehabilitation management of alcohol abuse in the human.Though it is well-appreciated that prevention of such disorders may be achieved by treatment of women with alcohol abuse, this chapter does not appear to relate to any of the previous chapters.As a reader, I would like to see more illustrations on the neuroanatomical defects and more diagrams or images (such as microscopic sections, in-situ hybridization photographs, etc.) related to various experimental designs.The graphical presentations in this book are all line graphs and bar graphs, some of which are complicated and difficult to interpret.Overall, the book provides a complete review on the current animal models for studies in alcoholism.It is a useful reference for those interested in the field and it provides useful information for physicians who manage patients with problems of drug abuse.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.190
Threshold uncertainty score0.636

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.1900.188

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 head0.028
GPT teacher head0.194
Teacher spread0.166 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2000
Admission routes2
Has abstractyes

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