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Record W7476881

Through the Eyes of Children: First Nations Children's Perceptions of Health

2014· article· en· W7476881 on OpenAlexaboutno aff
Kyla Annui Ursa English

Bibliographic record

VenueMolecular Pharmacology · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsPerceptionPsychologyOptometryMedicine
DOInot available

Abstract

fetched live from OpenAlex

General anesthetics depress central nervous system excitability via a mechanism that probably involves effects on synaptic ion channels, but the fundamental molecular nature of the site where they act is unknown. Although the importance of hydrophobicity for general anesthetic drug potency has long been established, it remains uncertain whether these "nonspecific" drugs act on membrane proteins directly or by modification of the physical properties of the lipid membrane or the lipid-protein interface. We find that specific mutations in the acetylcholine receptor pore-forming M2 domains enhance the sensitivity of the receptor to the general anesthetics isoflurane, hexanol, and octanol, suggesting that these agents act by binding directly to a discrete protein site at or near these residues. The sensitivity of the receptor to block by general anesthetics increases with increased hydrophobicity of these residues, demonstrating that hydrophobic forces dominate the interaction of drugs with their protein site. Furthermore, octanol inhibits both wild-type and mutant nicotinic acetylcholine receptors preferentially after channel opening, which is consistent with a mechanism where drugs bind within the receptor's pore. Similar sites on postsynaptic ion channels in brain may represent general anesthetic targets for modulating consciousness.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.847
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.009
GPT teacher head0.333
Teacher spread0.324 · 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 designNot applicable
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
Published2014
Admission routes1
Has abstractyes

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