MétaCan
Menu
Back to cohort
Record W2624052712 · doi:10.1097/bpo.0000000000000997

Genetics and Classifications

2017· article· en· W2624052712 on OpenAlexaff
Judith G. Hall, Eva Kimber, Harold J. P. van Bosse

Bibliographic record

VenueJournal of Pediatric Orthopaedics · 2017
Typearticle
Languageen
FieldMedicine
TopicNeurogenetic and Muscular Disorders Research
Canadian institutionsChild and Family Research InstituteBC Children's HospitalUniversity of British Columbia
Fundersnot available
KeywordsArthrogryposisArthrogryposis multiplex congenitaMedicineAbnormalityPediatricsMuscle contractureAnatomyPsychiatry

Abstract

fetched live from OpenAlex

Arthrogryposis multiplex congenital (AMC) is a descriptive term for a group of conditions that all share the characteristic of congenital contractures. There are an estimated 400 discrete diagnoses that can lead to a child being born with arthrogryposis. The 2 biggest categories of conditions are amyoplasia and distal arthrogryposis, which combined make up ∼50% to 65% of all diagnoses within the AMC subset. Amyoplasia, the most common AMC condition, seems to be a nongenetic syndrome, leading to very characteristic upper and lower limb contractures. The distal arthrogryposes, in contrast, have an underlying genetic abnormality, which in many cases seems to target the fast twitch muscles of the developing fetus. Classifying AMC is a difficult task, given the broad range of conditions represented. Four different classification schemes are presented.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.038
Threshold uncertainty score0.227

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.049
GPT teacher head0.352
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 designObservational
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

Citations39
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Pediatric OrthopaedicsSame topicNeurogenetic and Muscular Disorders ResearchFrench-language works237,207