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Record W2987304536 · doi:10.33140/jpnb.04.02.05

Motor Development Evaluation of Low Risk Preterm Infants through the First SixMonths of Life

2019· article· en· W2987304536 on OpenAlexaboutno aff

Bibliographic record

VenueJournal of Pediatrics & Neonatal Biology · 2019
Typearticle
Languageen
FieldMedicine
TopicInfant Development and Preterm Care
Canadian institutionsnot available
Fundersnot available
KeywordsCerebral palsyPediatricsMedicineLow birth weightMotor skillQuality of life (healthcare)Child developmentPsychologyPhysical medicine and rehabilitationPregnancyPsychiatry

Abstract

fetched live from OpenAlex

Preterm and low birth weight children are at risk for developmental deficits, many preterm children even who do not develop cerebral palsy not having reached normal motor development level regarding their chronological age. Normal motor development starts at conception and continue throughout life according to a typical sequence, pattern and timing. Evaluation and early detection of developmental deviation in preterm infants will improve the concept of early intervention and result in better quality of life to the preterm infants and their families. A longitudinal, quantitative, comparative studyone hundred infants: Preterm and full-term infants were evaluated by Alberta Infant Motor Scale (AIMS) through the first 6 months of life. There was significant difference in mean values AIMS of preterm and full term newborns. Further studies are needed to assess motor development in preterm using corrected 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 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)0.002
metaresearch head score (Gemma)0.001
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 score0.048
Threshold uncertainty score0.401

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.015
GPT teacher head0.272
Teacher spread0.257 · 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
Published2019
Admission routes1
Has abstractyes

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