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Record W3016194606 · doi:10.1017/ice.2020.40

Applying behavioral frameworks to antimicrobial stewardship

2020· article· en· W3016194606 on OpenAlexaff
Nisha Thampi, Julia E. Szymczak, Jerome A. Leis

Bibliographic record

VenueInfection Control and Hospital Epidemiology · 2020
Typearticle
Languageen
FieldImmunology and Microbiology
TopicAntibiotic Use and Resistance
Canadian institutionsUniversity of TorontoSunnybrook Health Science CentreHealth Sciences CentreChildren's Hospital of Eastern OntarioUniversity of Ottawa
FundersHamadan University of Medical Sciences
KeywordsAntimicrobial stewardshipStewardship (theology)Content (measure theory)Action (physics)AntimicrobialMicrobiologyBiologyMathematicsPolitical scienceAntibiotics

Abstract

fetched live from OpenAlex

3) Use respiratory masks during close contact with people, and try to change the masks often.4) Maintain several meters distance from other pilgrims.5) Avoid contact with other pilgrims who appear ill.6) Obtain vaccination (high-risk individuals).7) Avoid shaking hands and kissing during greetings.8) Wear mask and gloves during the pilgrimage and touching the shrine.Also, if individuals appear with signs and symptoms of flu, the following measures should be taken 15 :1) Use a mask to cover the mouth and nose.2) Cover the nose and mouth with their arm/sleeve or a napkin when sneezing or coughing.3) Placed used napkin or tissue in a plastic bag, then close the bag and throw it in the trash.Observing such measures can greatly reduce the spread of influenza virus during the Arba'een pilgrimage.

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)0.014
metaresearch head score (Gemma)0.016
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: Theoretical or conceptual
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.029
Threshold uncertainty score0.075

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.016
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.002
Science and technology studies0.0030.016
Scholarly communication0.0070.004
Open science0.0020.004
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0100.001

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 head0.022
GPT teacher head0.285
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
GenreMethods

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

Citations11
Published2020
Admission routes1
Has abstractyes

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