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Record W2047721955 · doi:10.1016/j.dib.2015.04.016

Data in support of protocol for rat single muscle-fiber isolation and culture

2015· article· en· W2047721955 on OpenAlexaff
Yusuke Komiya, Judy E. Anderson, Mariko Akahoshi, Mako Nakamura, Ryuichi Tatsumi, Yoshihide Ikeuchi, Wataru Mizunoya

Bibliographic record

VenueData in Brief · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMuscle Physiology and Disorders
Canadian institutionsUniversity of Manitoba
FundersJapan Society for the Promotion of Science
KeywordsMyogenesisGene isoformMyosinBlotBiologyMyocyteCell biologyMolecular biologyBiochemistryGene

Abstract

fetched live from OpenAlex

This data article contains data related to the research article entitled, "Protocol for rat single muscle-fiber isolation and culture" by Komiya et al. [1]. It has yet to be shown whether adult myosin heavy chain (MyHC) isoforms are expressed at a readily detectable level in cultured myotubes. In this study, we examined whether adult MyHC isoforms could be detected in myotubes differentiated from rat satellite cells using a Western blotting assay and specific antibodies against slow MyHC, fast MyHC and pan-MyHC. Results showed that slow adult MyHC isoforms were faintly detected in myotubes, suggesting that rat myotubes express adult MyHC isoforms although that amount is very low.

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)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.326
Threshold uncertainty score0.961

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0050.004
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0050.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.3260.213

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 head0.088
GPT teacher head0.357
Teacher spread0.269 · 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.

Study designNot applicable
Domainnot available
GenreDataset

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

Citations3
Published2015
Admission routes1
Has abstractyes

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Same venueData in BriefSame topicMuscle Physiology and DisordersFrench-language works237,207