MétaCan
Menu
Back to cohort
Record W3004721839

[논문]2015년 메르스 사태 이후 신축된 종합병원 병동부의 공간구성 특징 및 입원실 세부시설기준에 관한 연구

2019· article· ko· W3004721839 on OpenAlexaboutno aff
이현진, 권순정

Bibliographic record

Venue의료·복지 건축(구 한국의료복지시설학회지) · 2019
Typearticle
Languageko
FieldArts and Humanities
TopicCultural and Historical Studies
Canadian institutionsnot available
Fundersnot available
KeywordsBedroomComposition (language)MedicineMedical emergencyGeographyEnvironmental healthArchaeology
DOInot available

Abstract

fetched live from OpenAlex

Purpose: This study is to address the spacial composition of a standard ward and bedroom size for sake of infection control and efficient medical service. Methods: Spacial composition of a standard ward has been proposed by comparative analysis of 5 big hospitals' wards. Bedroom sizes have been explored on the ground of Health care facility regulations from Korea, USA, Australia and Canada. Of course, Literature and field survey have been conducted in order to draw out various bedroom sizes. Results: 16 basic and some other additional spaces have been proposed for the composition of hospital standard ward. Area of Single bedroom is 11.6㎡, and that of multi-beded room is 7.4㎡. Bed to bed Clearance is 1.5m, spacing between bedsize and hard wall is 0.9m in 1~2 beded room, 0.75m in 4-beded room. Space clearance between Foot side of bed and curtain is proposed as 0.3m and additional 0.9m is necessary for the circulation. Implications: The result of this study can be applied to the new cons.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.008
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.002
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.001

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 head0.040
GPT teacher head0.202
Teacher spread0.163 · 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 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

Citations0
Published2019
Admission routes1
Has abstractyes

Explore more

Same venue의료·복지 건축(구 한국의료복지시설학회지)Same topicCultural and Historical StudiesFrench-language works237,207