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Record W6968091954 · doi:10.5281/zenodo.14439770

Bone fractures in upper and lower extremities and occupational performances in childhood

2024· other· en· W6968091954 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2024
Typeother
Languageen
FieldMedicine
TopicBone fractures and treatments
Canadian institutionsnot available
Fundersnot available
KeywordsRehabilitationStairsHabilitationOccupational safety and healthActivities of daily livingUpper limbProspective cohort study

Abstract

fetched live from OpenAlex

Objectives: Bone fractures in the upper and lower extremities in childhood represent a significant health issue that affects a child's daily activities. The aim of this research was to determine the impact of fractures on a child's everyday occupational performances. Methods: A prospective study conducted over a 4-month period included 36 participants of both genders, up to 18 years old, treated at the Clinic for Child Habilitation and Rehabilitation in Novi Sad, Serbia, with prior consent from the child and their parents/guardians and approval from the Ethics Committee. The Canadian Occupational Performance Measure (COPM) was used to assess occupational performances. Results: In the total sample (n=36; 25 males (69%)), the average age was 9.94 years. Fractures of the upper extremity were most commonly observed (58%), followed by 31% lower extremity fractures and 11% fractures in both upper and lower extremities. In the domain of personal care, 8 occupational activities were challenging (most commonly brushing teeth (26%) and washing the face (22%)). In the domain of functional mobility, patientsreported 6 difficulties (most commonly riding a bicycle (34%) and walking up and down stairs (22%)). In the community navigation domain, the greatest difficulty was using elevators (80%) and 34% of respondents reported difficulties in using their free time and socializing with friends. Conclusions: Fractures in the upper and lower extremities during childhood affect independence, self-care, functional mobility, and daily functioning. Recognizing these difficulties and providing timely rehabilitation to address them can contribute to a faster recovery for the child.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.016
GPT teacher head0.263
Teacher spread0.247 · 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
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

Citations0
Published2024
Admission routes1
Has abstractyes

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