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Record W4395106574 · doi:10.5546/aap.2023-10257.eng

Profiles of functioning of a group of children with cerebral palsy in Argentina: Preliminary data from the first national study

2024· article· en· W4395106574 on OpenAlexaff
Verónica Schiariti, María de las Mercedes Ruiz Brünner, Eduardo Cuestas

Bibliographic record

VenueArchivos Argentinos de Pediatria · 2024
Typearticle
Languageen
FieldMedicine
TopicCerebral Palsy and Movement Disorders
Canadian institutionsUniversity of Victoria
FundersFondo para la Investigación Científica y TecnológicaCerebral Palsy Alliance Research FoundationCerebral Palsy AllianceUniversidad Nacional de Córdoba
KeywordsCerebral palsyPsychologyMedicinePediatricsAudiologyPhysical medicine and rehabilitation

Abstract

fetched live from OpenAlex

Cerebral palsy (CP) affects body posture and movement coordination and is the most common cause of severe disability in the pediatric population. The diagnosis of CP is not a description of a person's functioning or interaction with their environment. Therefore, the diagnosis should be complemented with a description of functioning, using tools based on the biopsychosocial model proposed by the World Health Organization's International Classification of Functioning, Disability and Health (ICF). This report describes the preliminary data from a multicenter study conducted in Argentina with the aim of standardizing the description of the profiles of functioning of children and adolescents with CP. These data showed that the participants had some skills in sleep functions, mental functions of language, seeing functions, and in some environmental factors. They showed significant difficulties in categories such as maintaining body position, walking, and toileting.

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 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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.442

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.029
GPT teacher head0.276
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 teacher head, 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

Explore more

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