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Record W4245721085 · doi:10.1002/ajmg.a.36938

Summary of the 2nd international symposium on arthrogryposis, St. Petersburg, Russia, September 17‐19, 2014

2015· article· en· W4245721085 on OpenAlexaff
Judith G. Hall, Olga Е. Agranovich, Eva Pontén, Harold J. P. van Bosse

Bibliographic record

VenueAmerican Journal of Medical Genetics Part A · 2015
Typearticle
Languageen
FieldMedicine
TopicNeurogenetic and Muscular Disorders Research
Canadian institutionsBC Children's HospitalUniversity of British Columbia
Fundersnot available
KeywordsArthrogryposisMedicineArthrogryposis multiplex congenitaRehabilitationPediatricsPhysical therapySurgery

Abstract

fetched live from OpenAlex

Enormous progress has been made in understanding the etiology and therapies for arthrogryposis (multiple congenital contractures). A 2nd International Symposium on Arthrogryposis was sponsored by the Turner Institute in St. Petersburg, Russia. Olga Agranovich, Head of the Arthrogryposis Department of the Turner Institute, organized this special meeting. Care providers from multiple disciplines from all over the world representing 18 nations attended. Participants included: Pediatric orthopedic specialists, rehabilitation physicians, occupational therapists, physical therapists, medical geneticists, neurologists, craniofacial physicians, psychologists, developmental biologists, as well as representatives from parent support groups. The 1st symposium established the need for a collaborative and interdisciplinary approach to the treatment of arthrogryposis, engagement of parent support organizations, and the aim for more research. The Second Symposium highlighted the continuing need for more research on various therapies, identification of different types of arthrogryposis, standardized descriptions of severity, development of new orthotics, improved prenatal diagnosis, and studying adult outcome. Major progress has been made on both upper and lower limb treatments.

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 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)0.001
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.196
Threshold uncertainty score0.660

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.024
GPT teacher head0.328
Teacher spread0.303 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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

Citations26
Published2015
Admission routes1
Has abstractyes

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Same venueAmerican Journal of Medical Genetics Part ASame topicNeurogenetic and Muscular Disorders ResearchFrench-language works237,207