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Record W2991136433 · doi:10.14740/gr1192

Basics of Blenderized Tube Feeds: A Primer for Pediatric Primary Care Clinicians

2019· review· en· W2991136433 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueGastroenterology Research · 2019
Typereview
Languageen
FieldMedicine
TopicChild Nutrition and Feeding Issues
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePsychosocialFeeding tubeIntensive care medicinePopularityParenteral nutritionPopulationPediatricsEnvironmental healthPsychologySurgeryPsychiatry

Abstract

fetched live from OpenAlex

Blenderized tube feeding (BTF) is defined as the use of blended foods and liquids given directly via the feeding tube. This form of tube feeding lost popularity with the introduction of commercial enteral formulas in the 1970s; however, society's recent focus on more natural foods has led to a reemerged interest in blenderized feeds. BTF is particularly popular among the pediatric population for a variety of reasons. Many patients and families choose BTF because of its perceived health benefits, intolerance to commercial feeding formulas, or psychosocial reasons. Despite its increasing use, the current literature on the prevalence, safety and outcome of BTF is limited. In this review, we discuss the potential benefits and drawbacks of blenderized tube feeds. We also review clinical application pearls for pediatric primary care clinicians. It is important for these clinicians to have a basic understanding of blenderized formulas in order to support families that are interested in this reemerging food practice.

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.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.945
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.263
GPT teacher head0.481
Teacher spread0.218 · 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