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Record W2137354128 · doi:10.1177/0884533614554264

American Society for Parenteral and Enteral Nutrition and Academy of Nutrition and Dietetics

2014· article· en· W2137354128 on OpenAlexfundno aff
Susan L. Brantley, Mary Russell, Kris M. Mogensen, Jennifer A. Wooley, Elizabeth Bobo, Yimin Chen, Ainsley Malone, Susan Roberts, Michelle Romano, Beth Taylor

Bibliographic record

VenueNutrition in Clinical Practice · 2014
Typearticle
Languageen
FieldHealth Professions
TopicDietetics, Nutrition, and Education
Canadian institutionsnot available
FundersCanadian Nuclear Safety Commission
KeywordsMedicineParenteral nutritionClinical nutritionCompetence (human resources)NursingAccountabilityMedical educationIntensive care medicineManagement

Abstract

fetched live from OpenAlex

This 2014 revision of the Standards of Practice (SOP) and Standards of Professional Performance (SOPP) for Registered Dietitians Nutritionists (RDNs) in Nutrition Support represents an update of the 2007 Standards composed by content experts of the American Society for Parenteral and Enteral Nutrition and the Academy of Nutrition and Dietetics. The revision is based upon the Revised 2012 SOP in Nutrition Care and SOPP for RDs, which incorporates the Nutrition Care Process and the six domains of professionalism: Quality in Practice, Competence and Accountability, Provision of Services, Application of Research, Communication and Application of Knowledge, and Utilization and Management of Resources. These SOP and SOPP are designed to promote the provision of safe, effective, and efficient nutrition support services, facilitate evidence-based practice, and serve as a professional evaluation resource for RDNs who specialize or wish to specialize in nutrition support therapy. These standards should be applied in all patient/client care settings in which RDNs in nutrition support provide care. These settings include, but are not limited to, acute care, ambulatory/outpatient care, and home and alternate site care. The standards highlight the value of the nutrition support RDN's roles in quality management, regulatory compliance, research, teaching, consulting, and writing for peer-reviewed professional publications. The standards assist the RDN in nutrition support to distinguish his or her level of practice (competent, proficient, or expert) and would guide the RDN in creating a personal development plan to achieve increasing levels of knowledge, skill, and ability in nutrition support 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.

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)0.011
metaresearch head score (Gemma)0.040
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.975
Threshold uncertainty score0.084

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.040
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0010.002
Scholarly communication0.0050.002
Open science0.0020.004
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.0250.022

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 head0.187
GPT teacher head0.552
Teacher spread0.366 · 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.

Study designNot applicable
Domainnot available
GenreOther

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

Citations26
Published2014
Admission routes1
Has abstractyes

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