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Record W4234025408 · doi:10.1007/978-1-61779-452-0

Astrocytes

2011· book· en· W4234025408 on OpenAlexfundno aff
Richard Milner

Bibliographic record

VenueMethods in molecular biology · 2011
Typebook
Languageen
FieldImmunology and Microbiology
TopicImmune cells in cancer
Canadian institutionsnot available
FundersUniversity of California, San DiegoMcGill University Health CentreNational Institutes of HealthCentre National de la Recherche ScientifiqueIntellectual and Developmental Disabilities Research CenterUniversidad de la República UruguayKing's College LondonUniversity of AlabamaUniversity of Alabama at BirminghamUniversità degli Studi di PadovaUniversity of WashingtonUniversity of RochesterNorthwestern UniversityUniversity of MissouriYonsei UniversityInstitut National de la Santé et de la Recherche MédicaleMedical Center, University of RochesterCase Western Reserve UniversityUniversity of MinnesotaSyracuse UniversityYonsei University College of MedicineMcGill UniversityTexas Tech UniversityChina Medical UniversityUniversity of ConnecticutWayne State University
KeywordsBiologyNeuroscience

Abstract

fetched live from OpenAlex

Ever since their discovery more than 150 years ago, astrocytes have proved to be something of an enigma. Only in the last 10-15 years has it become clear that astrocytes are multifunctional versatile

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)0.000
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: Not applicable
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.054
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0540.076

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 head0.025
GPT teacher head0.352
Teacher spread0.327 · 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
GenreMethods

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

Citations15
Published2011
Admission routes1
Has abstractyes

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