MétaCan
Menu
Back to cohort
Record W3005854929 · doi:10.34024/rnc.2018.v26.9851

Curva Nacional da Escala Motora Infantil de Alberta e Escores de Lactentes Expostos ao HIV

2019· article· pt· W3005854929 on OpenAlexaboutno aff
Cristina dos Santos Cardoso de Sá, Cristhina Bonilha Huster Siegle, Raquel de Paula Carvalho

Bibliographic record

VenueRevista Neurociências · 2019
Typearticle
Languagept
FieldMedicine
TopicHIV-related health complications and treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHuman immunodeficiency virus (HIV)PediatricsHumanitiesArtFamily medicine

Abstract

fetched live from OpenAlex

Objetivo. Comparar se o padrão de desenvolvimento neuromotor de lactentes expostos ao HIV é diferente do padrão de desenvolvimento de lactentes não expostos, e estabelecer a curva de referência do desenvolvimento motor para lactentes expostos ao HIV. Método. Cento e setenta e três lactentes expostos ao HIV nas idades de recém-nascido a 18 meses foram avaliados mensalmente por meio da escala brasileira motora infantil de Alberta e os escores de desempenho motor foram comparados à referência de lactentes brasileiros. Resultados. Os escores de desempenho motor foram similares, e nas idades de 0 a 3 meses e de 15 a 18 meses os pontos de corte dos escores para cada percentil são os mesmos. Conclusão. Lactentes expostos ao HIV possuem padrão de desenvolvimento neuromotor similar ao padrão de desenvolvimento neuromotor de lactentes não expostos ao HIV.

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)0.001
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 score0.721
Threshold uncertainty score0.561

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
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 head0.018
GPT teacher head0.293
Teacher spread0.275 · 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
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueRevista NeurociênciasSame topicHIV-related health complications and treatmentsFrench-language works237,207