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Record W4230194769 · doi:10.15585/mmwr.mm6544a9

<i>Announcement:</i> Get Smart About Antibiotics Week — November 14–20, 2016

2016· article· en· W4230194769 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueMMWR Morbidity and Mortality Weekly Report · 2016
Typearticle
Languageen
FieldImmunology and Microbiology
TopicAntibiotic Use and Resistance
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAntibiotic StewardshipStewardship (theology)Health carePublic healthAntibioticsNursingEuropean unionAntibiotic resistanceFamily medicineEnvironmental healthPublic relationsEconomic growthBusinessPolitical science

Abstract

fetched live from OpenAlex

Get Smart About Antibiotics Week is November 14-20, 2016. This annual observance is intended to engage health care providers, professional societies, advocacy groups, for-profit companies, state and local health departments, the general public, the media, and others in an effort to improve antibiotic stewardship in outpatient, inpatient, nursing home, and animal health settings. During this week, participants will raise awareness of the threat of antibiotic resistance and emphasize the importance of appropriate antibiotic use across all health care settings. Get Smart About Antibiotics Week coincides with the World Health Organization's World Antibiotic Awareness Week and European Antibiotic Awareness Day (November 18). In addition to the United States and European Union, other participating countries and international organizations include Australia, Canada, and the Pan American Health Organization.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.466
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.027
GPT teacher head0.264
Teacher spread0.237 · 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