MétaCan
Menu
Back to cohort
Record W4361280202 · doi:10.31080/asor.2023.06.0713

Diagnostic Dilemmas and Treatment Strategy for Paediatric Non-Traumatic Knee Effusion

2023· article· en· W4361280202 on OpenAlex
Dhawal Bakhda, K. Santhosh Kumar Raju

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

VenueActa Scientific Orthopaedics · 2023
Typearticle
Languageen
FieldMedicine
TopicBone fractures and treatments
Canadian institutionsASTER
Fundersnot available
KeywordsMedicineEffusionPhysical therapySurgery

Abstract

fetched live from OpenAlex

Knee effusion in paediatric age group is usually due to hemarthrosis following an injury.However, there are several non-traumatic causes of knee effusion found in the paediatric age group.Evaluation and treatment for non-traumatic effusion in knee requires special attention.This is desired basically to differentiate between infectious, post-infectious, rheumatologic, hematologic, vasculitis and malignant diseases.Despite knee swelling prevailing in ~27% of general population, there is lack of consensus on diagnosis and management of this condition among Indians.The present case highlights the importance of a definite diagnostic pyramid and multidisciplinary approach required for early diagnosis and treatment of non-traumatic knee effusion in an adolescent with underlying juvenile spondyloarthropathy.

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.622
Threshold uncertainty score0.806

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.035
GPT teacher head0.297
Teacher spread0.262 · 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