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Record W4406321728 · doi:10.1007/978-1-59259-322-4

Neural Mechanisms of Anesthesia

2003· book· en· W4406321728 on OpenAlexfundno aff

Bibliographic record

VenueHumana Press eBooks · 2003
Typebook
Languageen
FieldNeuroscience
TopicAnesthesia and Neurotoxicity Research
Canadian institutionsnot available
FundersSchool of Medicine, Stanford UniversityCardiff UniversityUniversity of PennsylvaniaYork UniversityMedical Center, University of PittsburghSchool of Medicine, New York UniversityYale UniversityUniversity of PittsburghMassachusetts General Hospital
KeywordsAnesthesiaBusinessComputer scienceNeuroscienceMedicinePsychology

Abstract

fetched live from OpenAlex

Leading investigators critically evaluate the latest information on how anesthetics work at the molecular, cellular, organ, and whole animal level. These distinguished experts review anesthetic effects on memory, consciousness, and movement and spell out in detail both the anatomic structures and physiological processes that are their likely targets, as well as the cellular and molecular mechanisms by which they operate. Comprehensive and authoritative, Neural Mechanisms of Anesthesia draws together and critically reviews all the recent research on anesthetic mechanisms, highlighting the precise routes along which these substances operate, and how this deeper understanding will lead to the design of effective drugs free ofundesirable side effects.

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)0.000
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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.014
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.003
Scholarly communication0.0020.004
Open science0.0010.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0140.009

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 head0.121
GPT teacher head0.301
Teacher spread0.180 · 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

Citations7
Published2003
Admission routes1
Has abstractyes

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