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Record W4307775629 · doi:10.1177/00084174221134738

A Unique Clinical Tool for the Evaluation of Oral Feeding Skills in Infants

2022· article· en· W4307775629 on OpenAlexvenueno aff
Sandra Fucile, Kimberly Dow

Bibliographic record

VenueCanadian Journal of Occupational Therapy · 2022
Typearticle
Languageen
FieldMedicine
TopicChild Nutrition and Feeding Issues
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineSwallowingAdverse effectApneaPediatricsIntensive care medicineAnesthesiaSurgeryInternal medicine

Abstract

fetched live from OpenAlex

Background. Occupational therapy practice for oral feeding assessment is based on clinical observation of infants’ sucking, swallowing, and breathing ability, which is influenced by clinical experience and provides poor evidence on explanatory factors. Purpose. To test the clinical utility and safety of a nipple monitoring device for the quantitative evaluation of oral feeding skills. Method. Sixteen infants, with no severe medical complications, participated in a pre-experimental pilot study. Oral feeding performances (duration, intake volume, and rate of transfer), and occurrence of adverse events (apnea, bradycardia, and oxygen desaturations) were recorded to ensure the tool does not interfere with infant's feeding ability or does not create any adverse effects. Findings. There was no significant difference in duration, intake volume, rate of transfer between the two monitored sessions, and no occurrence in adverse events. Implications. The findings suggest that the nipple monitoring device may be used for quantitative assessment and intervention planning of oral feeding difficulties in infants.

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)0.004
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 score0.055
Threshold uncertainty score0.626

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
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)0.0010.000

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 head0.303
GPT teacher head0.493
Teacher spread0.190 · 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

Citations6
Published2022
Admission routes1
Has abstractyes

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