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Record W2475976194 · doi:10.1385/1-59259-188-4:035

Monitoring Caspases in Neuronal Cell Death

2003· book-chapter· en· W2475976194 on OpenAlexaff
Younes Bounhar, Omar Tounekti, Andréa C. LeBlanc

Bibliographic record

VenueHumana Press eBooks · 2003
Typebook-chapter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCell death mechanisms and regulation
Canadian institutionsMcGill UniversityJewish General Hospital
Fundersnot available
KeywordsCaspaseCell biologyProgrammed cell deathProteasesApoptosisBiologyNeuroscienceIntrinsic apoptosisXIAPCellBiochemistryEnzyme

Abstract

fetched live from OpenAlex

Apoptosis is a physiological process that contributes to the establishment and homeostasis of the nervous system. For example, neurons that fail to make the proper connections with their postsynaptic targets die naturally during development due to the lack of sufficient trophic support (). Cell demise is operated in a wellordered fashion and culminates in the activation of a network of specific proteases, the caspases that execute the death program. Once activated by the apoptotic signal, caspases cleave a myriad of cellular target proteins in a highly specific fashion. As a consequence, the death signal is amplified, and the committed cell systematically dismantled (). We describe here a practical guide to investigate the involvement of caspases in neuronal cell death.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.007

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 head0.048
GPT teacher head0.249
Teacher spread0.202 · 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 designBench or experimental
Domainnot available
GenreOther

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

Citations1
Published2003
Admission routes1
Has abstractyes

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