MétaCan
Menu
Back to cohort
Record W4392415405 · doi:10.53555/sfs.v10i5.2229

An Overview Of Critically Important Concepts In Infection Controls

2023· article· en· W4392415405 on OpenAlexvenueno aff
Menwer Mohsen Mubarak Alfahmi, Saad Saud Alyazidi, Abdulkarim Jamaan Albijali, Abdallah Ebrahim Ateeh Allah Alzahrani, Mohammed Hamid Ali Sulaimani, Waleed Mohammed Dakhilallah Almalki, Abdulaziz Ali Mahdi Alnuayri, Ahmed Mohammed Bin Khidhr Almathami, Talal Oliyan Ali Alfahmi, Abdulrahman Ahmed Abdulaziz Almhdawi

Bibliographic record

VenueJournal of Survey in Fisheries Sciences · 2023
Typearticle
Languageen
FieldMathematics
TopicCOVID-19 epidemiological studies
Canadian institutionsnot available
Fundersnot available
KeywordsCritically illIntensive care medicineMedicineComputer scienceRisk analysis (engineering)

Abstract

fetched live from OpenAlex

There is a significant need for the prevention and control of healthcare-associated infections (HCAI) both inside Europe and outside its borders. On the other hand, it is not quite obvious which aspects are seen as being significant by specialists in the field of HCAI prevention and control. The priorities in the prevention and control of healthcare-associated infections (HCAI) are evaluated in this study based on the experts' opinions. It is possible that the future of hospital infection control may feature a greater integration of environmental monitoring, antimicrobial stewardship, and patient involvement, all while maximizing collaboration among healthcare institutions.

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)0.016
metaresearch head score (Gemma)0.019
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.016
Threshold uncertainty score0.084

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.019
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0090.007
Science and technology studies0.0020.014
Scholarly communication0.0070.010
Open science0.0030.004
Research integrity0.0070.013
Insufficient payload (model declined to judge)0.0060.002

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 head0.673
GPT teacher head0.506
Teacher spread0.167 · 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
GenreReview

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
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Survey in Fisheries SciencesSame topicCOVID-19 epidemiological studiesFrench-language works237,207