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Record W2895424679 · doi:10.1891/1748-6254.8.2.29

The Nordic ICU Nursing Research Network

2011· article· en· W2895424679 on OpenAlexaff
Ingrid Egerod

Bibliographic record

VenueConnect The World of Critical Care Nursing · 2011
Typearticle
Languageen
FieldHealth Professions
TopicHealth Sciences Research and Education
Canadian institutionsNordic Life Science Pipeline (Canada)
Fundersnot available
KeywordsNursingMedicinePsychology

Abstract

fetched live from OpenAlex

la formación y actividades de la Asociación Nórdica de Investigación en Enfermería en Cuidados Críticos.• El objetivo de la asociación es apoyar y desarrollar la investigación en enfermería en cuidados críticos en los países Escandinavos.• La asociación fue establecida en 2004, organiza un congreso cada dos años y tiene un sitio web. SUMMARY• This paper describes the formation and activities of the Nordic Association for Intensive Care Nursing Research.•The aim of the association is to support and develop intensive care nursing research in the Nordic countries.• The association was established in 2004, and holds biannual meetings and hosts a website.

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)0.031
metaresearch head score (Gemma)0.040
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.057
Threshold uncertainty score0.164

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0310.040
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0090.006
Science and technology studies0.0020.001
Scholarly communication0.0080.002
Open science0.0020.005
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0210.006

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 head0.388
GPT teacher head0.597
Teacher spread0.209 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations3
Published2011
Admission routes1
Has abstractyes

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