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Record W2116948265 · doi:10.1002/glia.21086

Neuroinflammation is associated with changes in glial mGluR5 expression and the development of neonatal excitotoxic lesions

2010· article· en· W2116948265 on OpenAlexafffund
Janelle Drouin‐Ouellet, Anna‐Liisa Brownell, Martine Saint‐Pierre, Caroline Fasano, Vincent Émond, Louis‐Éric Trudeau, Daniel Lévesque, Francesca Cicchetti

Bibliographic record

VenueGlia · 2010
Typearticle
Languageen
FieldNeuroscience
TopicNeuroinflammation and Neurodegeneration Mechanisms
Canadian institutionsUniversité LavalUniversité de MontréalCentre hospitalier universitaire de Québec
FundersNational Institute of Biomedical Imaging and BioengineeringNational Institute of Mental HealthCanadian Institutes of Health Research
KeywordsNeuroinflammationIbotenic acidNeuroscienceAstrogliosisBiologyGlutamate receptorNMDA receptorHippocampal formationMicrogliaMetabotropic glutamate receptor 5NeurotoxinLesionGliosisExcitotoxicityInflammationMetabotropic glutamate receptorCentral nervous systemReceptorMedicinePathologyImmunologyEndocrinology

Abstract

fetched live from OpenAlex

OpenAlex records an abstract for this work, but it could not be fetched just now.

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 score0.003
Threshold uncertainty score0.334

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.021
GPT teacher head0.238
Teacher spread0.216 · 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

Citations71
Published2010
Admission routes2
Has abstractyes

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