MétaCan
Menu
Back to cohort
Record W2494100240 · doi:10.1002/jcu.22378

Traumatic sternal segment dislocation in a 3‐year‐old girl: Sonographic findings

2016· article· en· W2494100240 on OpenAlex
Nicolas Murray, Françoise Rypens, J Trudel, Marie‐Andrée Cantin, Marie‐Claude Miron

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

VenueJournal of Clinical Ultrasound · 2016
Typearticle
Languageen
FieldMedicine
TopicTrauma Management and Diagnosis
Canadian institutionsCégep Saint-Jean-sur-RichelieuUniversité de MontréalCentre Hospitalier Universitaire Sainte-JustineHôtel-Dieu de Québec
Fundersnot available
KeywordsMedicineGirlDislocationSurgery

Abstract

fetched live from OpenAlex

Sternal fractures are uncommon in the pediatric population, and sternal segment dislocations are even rarer with only a few cases reported in the literature. Most cases are secondary to direct trauma to the chest, but nontraumatic dislocations have been reported. The diagnosis can be difficult to establish with standard radiographs, while CT is not desirable in the pediatric population due to the associated irradiation. Ultrasound (US) can be used as the first-line modality to evaluate the sternum. We report the US findings associated with a case of traumatic sternal segment dislocation in a 3-year-old girl. © 2016 Wiley Periodicals, Inc. J Clin Ultrasound 45:45-49, 2017.

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)0.002
metaresearch head score (Gemma)0.002
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 score0.020
Threshold uncertainty score0.415

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.072
GPT teacher head0.379
Teacher spread0.308 · 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