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Record W4395701548 · doi:10.14738/aivp.122.16871

A Review of Motor Innervation in Growing Meat Animals

2024· review· en· W4395701548 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

VenueEuropean journal of applied sciences · 2024
Typereview
Languageen
FieldMedicine
TopicComparative Animal Anatomy Studies
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsAnatomyBiologyZoology

Abstract

fetched live from OpenAlex

Meat animals have been bred to have enormous muscles. The genes regulating myogenesis and muscle growth are now becoming known. How does the motor innervation interact with massive increases in myofibre diameters and numbers? Stress‑susceptible pigs have myofibres with a ryanodine mutation in their calcium ion release channels. This leads to excessive muscle activation and the hypertrophy of fast-contracting myofibres.  These myofibres develop large neuromuscular junctions, often with extra axonal sprouts and double motor end plates. Mutations in the myostatin gene cause myofibre hyperplasia in double muscled cattle. Terminal axons have increased branching to innervate the extra myofibres. The number of neuromuscular spindles to give feedback to the cerebellum is increased and spindles have more intrafusal myofibres regulating feedback. Is the motor innervation merely responding to the increased muscle mass, or is this an interactive system?

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)0.003
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.733
Threshold uncertainty score0.577

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
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 head0.159
GPT teacher head0.401
Teacher spread0.243 · 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