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Record W2024307802 · doi:10.1097/pep.0b013e318235244e

Gross Motor Development in Babies With Treated Idiopathic Clubfoot

2011· article· en· W2024307802 on OpenAlexaboutno aff
Nancy L. Garcia, Mark L. McMulkin, Bryan J. Tompkins, Paul M. Caskey, Shelley Mader, Glen O. Baird

Bibliographic record

VenuePediatric Physical Therapy · 2011
Typearticle
Languageen
FieldMedicine
TopicCerebral Palsy and Movement Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsClubfootGross motor skillMedicinePhysical medicine and rehabilitationMotor skillPediatricsSurgeryPsychiatry

Abstract

fetched live from OpenAlex

PURPOSE: To investigate the effect of treated clubfoot disorder on gross motor skill level measured by the Alberta Infant Motor Scale (AIMS). METHODS: Fifty-two babies participated: 26 were treated for idiopathic clubfoot (12 with the Ponseti treatment method, 9 with the French physical therapy technique, and 5 with a combination of both methods); 26 were babies who were typically developing and without medical diagnoses. The AIMS was administered at 3-month intervals. RESULTS: No significant differences in AIMS scores were found between the clubfoot and control groups at 3 and 6 months, but at 9 and 12 months the clubfoot group scored significantly lower. Babies who were typically developing were significantly more likely to be walking at 12 months than babies with clubfoot. CONCLUSIONS: Treated clubfoot was associated with a mild delay in attainment of gross motor skills at 9 and 12 months of age.

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)0.005
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 score0.005
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.033
GPT teacher head0.256
Teacher spread0.223 · 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

Citations22
Published2011
Admission routes1
Has abstractyes

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