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Record W4319777745 · doi:10.1016/j.xpro.2023.102107

Evaluating mitochondrial length, volume, and cristae ultrastructure in rare mouse adult stem cell populations

2023· article· en· W4319777745 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueSTAR Protocols · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMitochondrial Function and Pathology
Canadian institutionsUniversity of Ottawa
FundersCanadian Institutes of Health ResearchCanada Research ChairsMuscular Dystrophy CanadaUniversity of OttawaStem Cell NetworkNatural Sciences and Engineering Research Council of CanadaOttawa Hospital Research InstituteMcGill University
KeywordsUltrastructureMitochondrionBiologyCell biologyStem cellAnatomy

Abstract

fetched live from OpenAlex

Since changes in mitochondrial morphology regulate key functions of stem cells, it is important to assess their structure under physiological and pathophysiological conditions. Here, we present techniques optimized in rare adult muscle stem cells (MuSCs). For evaluating mitochondrial length and volume within a compact cytoplasmic area in MuSCs on intact myofibers, we describe steps for mitochondrial staining, imaging, and quantification. For evaluating mitochondrial ultrastructure in small cell numbers, we describe steps for agarose embedding and quantification by TEM. For complete details on generation and use of this protocol, please refer to Baker et al. (2022).1

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)0.000
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 score0.255
Threshold uncertainty score0.721

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 head0.046
GPT teacher head0.343
Teacher spread0.297 · 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