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Astrocyte phenotypes and their relationship to myelination

2010· article· en· W1727504735 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Anatomy · 2010
Typearticle
Languageen
FieldNeuroscience
TopicNeurogenesis and neuroplasticity mechanisms
Canadian institutionsInstitute of Infection and Immunity
FundersMedical Research CouncilMultiple Sclerosis Society
KeywordsAstrocytePhenotypeOligodendrocyteNeuroscienceBiologyAxonRegeneration (biology)NeurogliaMechanism (biology)HomeostasisCell typeCellCentral nervous systemCell biologyMyelinGeneticsGene

Abstract

fetched live from OpenAlex

Astrocytes are one of the major glial cell types that maintain homeostasis in the undamaged CNS. After injury and disease, astrocytes become reactive and prevent regeneration; however, it has also been suggested that astrocytes can become activated and promote regeneration. Thus, it is hypothesised that astrocytes have an important role in modulating CNS repair. This review will focus on the variable phenotypic state of astrocytes that range from inactive/quiescent to reactive, and relate these to their ability to influence myelination. Using myelinating cultures plated on astrocytes we propose a possible mechanism for oligodendrocyte precursor cell interaction with the axon, leading to myelination. The phenotypic status of astrocytes is an intriguing and widely discussed issue, which is critical for understanding the mechanisms involved in CNS injury and its subsequent repair.

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.

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)0.001
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 score0.010
Threshold uncertainty score0.228

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.022
GPT teacher head0.270
Teacher spread0.248 · 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