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Record W2092740654 · doi:10.1139/h06-054

The ABCs of IGF-I isoforms: impact on muscle hypertrophy and implications for repair

2006· review· en· W2092740654 on OpenAlexvenueno aff
Elisabeth R. Barton

Bibliographic record

VenueApplied Physiology Nutrition and Metabolism · 2006
Typereview
Languageen
FieldMedicine
TopicGrowth Hormone and Insulin-like Growth Factors
Canadian institutionsnot available
Fundersnot available
KeywordsGene isoformSkeletal muscleAlternative splicingMuscle hypertrophyBiologyCell biologyInsulin-like growth factorGrowth factorRegulatorGeneRNA splicingEndocrinologyGeneticsReceptor

Abstract

fetched live from OpenAlex

Insulin-like growth factor I (IGF-I) plays a critical role in the growth and development of many tissues in the body. It is a key regulator of skeletal muscle development, and continues to enhance the ability for muscle to grow and undergo repair throughout life. Although the focus of research has been on the molecular actions and physiological impact of IGF-I, there has also been a growing undercurrent of studies geared toward the characterization of additional potentially active peptides produced by the igf1 gene. Alternative splicing of the gene results in multiple isoforms that retain the identical sequence for mature IGF-I, but also give rise to divergent C-terminal peptides. The peptides might modulate the actions, stability, or bioavailability of IGF-I, or they might have independent activity. These possibilities have gained the attention of the skeletal muscle field, where novel actions of IGF-I could have significant impact on muscle mass, strength, and repair.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.003

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 head0.028
GPT teacher head0.316
Teacher spread0.288 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations125
Published2006
Admission routes1
Has abstractyes

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