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Record W2328670464 · doi:10.3130/aijt.16.1099

STUDY ON BUILDING GUIDELINE OF MEDICAL FACILITY FOR TUBERCULOSIS PATIENTS

2010· article· en· W2328670464 on OpenAlexaff
Ken-ichi KOBAYASHI, Atsuo KAKEHI, Akira Ito, Takeshi ITOYAMA, Yutaka Kawaguchi, Akihiro KOORI, Yoshitaka Tsuji, Shoichi Morimoto, U YANAGI

Bibliographic record

VenueAIJ Journal of Technology and Design · 2010
Typearticle
Languageen
FieldEnvironmental Science
TopicUrban and spatial planning
Canadian institutionsResearch & Development Corporation
Fundersnot available
KeywordsTuberculosisGuidelineInstitutionInfectious disease (medical specialty)MedicineDiseaseEnvironmental healthPathologyPolitical scienceLaw

Abstract

fetched live from OpenAlex

In the current laws and ordinances, the matter to accommodate the tuberculosis patient who is an airborne infectious disease is not exhibited. In this study, we discussed the building standard of the medical institution which accommodate tuberculosis patient, for the purpose of showing recommendations. The medical institution to accommodate tuberculosis patients needs to keep building facilities corresponding to the airborne infection, and it is necessary to perform use based on the latest scientific evidences.

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)0.002
metaresearch head score (Gemma)0.017
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.021
GPT teacher head0.284
Teacher spread0.263 · 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 designTheoretical or conceptual
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
Published2010
Admission routes1
Has abstractyes

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