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Record W2005713696 · doi:10.1186/2044-5040-1-1

Welcome to Skeletal Muscle

2011· editorial· en· W2005713696 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

VenueSkeletal Muscle · 2011
Typeeditorial
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMuscle Physiology and Disorders
Canadian institutionsOttawa HospitalUniversity of Ottawa
Fundersnot available
KeywordsSkeletal muscleMyocyteBiologyMyogenesisMuscle hypertrophyMuscular dystrophyCell biologyNeuroscienceAnatomyBioinformaticsEndocrinologyGenetics

Abstract

fetched live from OpenAlex

Over the past decade or two, cellular signaling and molecular genetics have combined to allow for a tremendous increase in the understanding of fundamental processes that are distinct to skeletal muscle: the genes that initiate its differentiation from progenitor cells and which establish its identity; pathways that are responsible for its hypertrophy under load and its atrophy in settings of cachexia, disuse and denervation; an increase in the understanding of its remarkable and distinct ability to regenerate from cellular injury and how that ability declines with age; the genes that are responsible for the multiple types of muscular dystrophy and some indication as to how these genes function; a finer understanding of muscle contractility and the signaling pathways that control contraction; the role of the mitochondria and energy use in skeletal muscle; the contribution of skeletal muscle to insulin and fatty acid signaling; and the discovery of precursor cells that can give rise to skeletal muscle, most notably the satellite cell. Beyond these basic and exciting discoveries, there are also the complex interactions between muscle and motor neuron, muscle and fat, muscle and vasculature, muscle and tendon, and muscle and bone, that are becoming subjects of study. In addition, researchers have begun to explore how skeletal muscle's basic processes are perturbed in settings of disease and advanced age. The dramatic increase in research on skeletal muscle richly justifies the establishment of a new home for the resultant reports detailing progress in the understanding of this remarkable tissue. Skeletal Muscle is therefore launched to provide such a home. We should emphasize that we take that metaphor seriously. The pages of this journal will provide space in the same way a home in a community functions: to give the active scientist room to develop a field; to report exciting new understandings as to mechanisms that constitute and control skeletal muscle; to distribute notes on important techniques; to review recent developments; to provide perspective on long-standing research; and to provide constructive feedback from peers well versed in the research area. The journal should be the first resort for an experienced scientist researching skeletal muscle who seeks to reach other scientists who would be most interested in a finding. It is hoped that this journal will become required reading for students who want to learn about skeletal muscle and for experienced scientists who seek to keep up with the most important developments in the field. We have a goal that this journal will become the skeletal muscle equivalent of Neuron or Blood, to name other journals that provide similar space for research in their named tissue types. The reason Skeletal Muscle is needed is simply that no similar journal for skeletal muscle exists. Ours is an open access journal [1]. Open access will allow key findings in our field to be more accessible and far-reaching, because the journal will be published online and without subscription charges. An online journal means more rapid reviews and shorter time to publication. For a growing field, dispensing new knowledge quickly is critical. The online format will also allow us to publish articles without the constraint of page limitations. A fixed article- processing charge will be levied to cover the publication costs [2], and there will be no additional page or color figure charges. Furthermore, the active nature of the contracting or regenerating skeletal muscle system is often well captured in the form of movies and animation. We have made this a priority in the format of Skeletal Muscle: movies may be built into an article, such that readers will be only a click away from a real-time view of the observations. Also, the online format permits the journal to generate a cover for every article we publish (and contributors are invited to furnish cover art for their papers). The editors are committed to making this new venture a success for the skeletal muscle community [3]. We therefore hope that you share our vision and will join us in launching Skeletal Muscle. We will not be successful without your enthusiastic support and contributions.

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 categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.105
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.008
GPT teacher head0.249
Teacher spread0.241 · 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