MétaCan
Menu
Back to cohort
Record W2018613782 · doi:10.1002/nbm.1090

Transverse relaxation in rat optic nerve

2006· article· en· W2018613782 on OpenAlexafffund
Isidro Bonilla, R. E. Snyder

Bibliographic record

VenueNMR in Biomedicine · 2006
Typearticle
Languageen
FieldNeuroscience
TopicPhotoreceptor and optogenetics research
Canadian institutionsUniversity of Alberta
FundersCanadian Institutes of Health ResearchUniversity of Alberta
KeywordsOptic nerveRelaxation (psychology)Component (thermodynamics)ProtonChemistryCentral nervous systemGlutamate receptorIn vitroBiophysicsNuclear magnetic resonanceAnatomyNeuroscienceBiologyBiochemistryPhysics

Abstract

fetched live from OpenAlex

In vitro investigations were performed to study the proton T(2) relaxation spectrum of rat optic nerve. Studies in which the nerve was incubated in a D(2)O-based solution revealed that >98% of the spectrum originated from the water protons. The spectrum was found to consist of three components having relaxation times and sizes similar to those reported in the literature for peripheral nerve. Procedures were taken to confirm the existence of a third optic nerve component and that it was not an artifact of the long-lived water protons of the in vitro incubation solution. Evidence using paramagnetic agents in the incubation solution, which removed the two longest-lived nerve components from the spectrum, revealed the existence of a small fourth component (<10% of total) having a T(2) relaxation time similar to that of the intermediate-lived nerve component. Bathing the nerves in a 10 mM glutamate solution, glutamate known to result in cellular swelling in mammalian central nervous system (CNS), was found to increase the component size of the longest-lived nerve component, suggestive that this component may result from cellular water.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.031
Threshold uncertainty score0.306

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.032
GPT teacher head0.315
Teacher spread0.283 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations19
Published2006
Admission routes2
Has abstractyes

Explore more

Same venueNMR in BiomedicineSame topicPhotoreceptor and optogenetics researchFrench-language works237,207