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Record W4235899246 · doi:10.4102/sajr.v25i1.2027

Clinical presentation, diagnosis and management of aerodigestive tract foreign bodies in the paediatric population: Part 2

2021· review· en· W4235899246 on OpenAlexaff
Rishi Philip Mathew, Teresa Liang, Ahamed Kabeer, Vimal Patel, Gavin Low

Bibliographic record

VenueSouth African Journal of Radiology · 2021
Typereview
Languageen
FieldMedicine
TopicForeign Body Medical Cases
Canadian institutionsUniversity of Alberta HospitalAlberta Hospital Edmonton
Fundersnot available
KeywordsMedicinePresentation (obstetrics)Foreign BodiesPopulationForeign bodyEpidemiologyModalitiesIntensive care medicinePediatricsGeneral surgeryPathologySurgeryEnvironmental health

Abstract

fetched live from OpenAlex

Children, especially toddlers, because of their behaviour, physiology and anatomical characteristics such as oral exploration of their surroundings, have a tendency to place objects in their mouth. Therefore, ingestion or aspiration of foreign bodies (FBs) in children is a potentially life-threatening and common problem seen across the world. In this second part of our pictorial review on ingested and aspirated FBs, we focus on the paediatric population, reviewing the current literature and examining the epidemiology, clinical presentation, anatomic considerations, appropriate imaging modalities, key imaging characteristics associated with clinically relevant FBs in the emergency department (ED) and current management protocols.

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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.002
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.099
GPT teacher head0.389
Teacher spread0.290 · 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 designObservational
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

Citations12
Published2021
Admission routes1
Has abstractyes

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