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Record W4232472980 · doi:10.1097/sga.0000000000000098

Reuse of Single-use Critical Medical Devices

2015· article· en· W4232472980 on OpenAlexaboutno aff

Bibliographic record

VenueGastroenterology Nursing · 2015
Typearticle
Languageen
FieldImmunology and Microbiology
TopicMedical Device Sterilization and Disinfection
Canadian institutionsnot available
Fundersnot available
KeywordsLicensureGuidelineMedicineDisclaimerFamily medicineNursingPolitical sciencePathologyLaw

Abstract

fetched live from OpenAlex

Reprints are available for purchase from SGNA Headquarters. To order, contact: Department of Membership Services, Society of Gastroenterology Nurses and Associates, Inc., 330 North Wabash, Chicago, IL 60611 (e-mail: [email protected]) THE OFFICIAL JOURNAL OF THE SOCIETY OF GASTROENTEROLOGY NURSES AND ASSOCIATES, INC. AND THE CANADIAN SOCIETY OF GASTROENTEROLOGY NURSES AND ASSOCIATES DEDICATED TO THE SAFE AND EFFECTIVE PRACTICE OF GASTROENTEROLOGY AND ENDOSCOPY NURSING DISCLAIMER The Society of Gastroenterology Nurses and Associates, Inc. (SGNA), presents this guideline for use in developing institutional policies, procedures, and/or protocols. Information contained in this guideline is based on current published data and current practice at the time of publication. The Society of Gastroenterology Nurses and Associates, Inc., assumes no responsibility for the practices or recommendations of any member or other practitioner, or for the policies and practices of any practice setting. Nurses and associates function within the limits of state licensure, state nurse practice act, and/or institutional policy. The members of the SGNA Practice Committee 2011-2012 are Michelle E. Day, MSN, BSN, RN, CGRN, Chair; Michelle Juan, MSN, RN, CGRN, Co-Chair; Kathy Buffington, BSN, RN, CGRN; Rhonda L. Casey, RN, BS, MHA, CGRN; Cynthia M. Friis, MEd, BSN, RN-BC; Ann Herrin, BSN, RN, CGRN; Colleen Kelley Keith, MSN, RN, CGRN; Judy Lindsay, MA, BSN, RN, CGRN; Marilee Schmelzer, PhD, RN; and Barbara Zuccala, MSN, RN, CGRN. The authors declare no conflicts of interest.

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)0.004
metaresearch head score (Gemma)0.052
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.756
Threshold uncertainty score0.348

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.052
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0050.004
Science and technology studies0.0030.003
Scholarly communication0.0080.004
Open science0.0020.007
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.7560.723

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 head0.047
GPT teacher head0.311
Teacher spread0.264 · 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 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".

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Citations0
Published2015
Admission routes1
Has abstractyes

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