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Record W2294160272 · doi:10.1086/501772

SHEA Conference on Antimicrobial Resistance

2000· article· en· W2294160272 on OpenAlexaboutno aff
Dale N. Gerding, William J. Martone

Bibliographic record

VenueInfection Control and Hospital Epidemiology · 2000
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAntibiotic Resistance in Bacteria
Canadian institutionsnot available
Fundersnot available
KeywordsAntimicrobialAntibiotic resistanceResistance (ecology)MedicineMicrobiologyBiologyAntibiotics

Abstract

fetched live from OpenAlex

Antimicrobial resistance is an increasing problem in healthcare institutions and in the community. Public concern about resistance is also increasing. The issue is broad and complex and not readily addressed by government, industry, or professional societies alone. On October 29-30, 1998, 19 representatives of various professional societies and governmental agencies met under the auspices of the Society for Healthcare Epidemiology of America (SHEA) at Brook Lodge Conference Center in Augusta, Michigan. The purpose of the meeting was to discuss the current status of antimicrobial resistance in the United States and Canada, including present society and governmental efforts to address the problem. Representatives exchanged experiences through presentations and discussions on the first day, then on the second day held a brainstorming session to address future needs and priorities in addressing the resistance problem. It was agreed that a national coordinated effort was needed. As part of this national effort, representatives called for the creation of a National Coalition on Antibiotic Resistance (NCAR) to combat antibiotic resistance through education, research, prevention, and advocacy. Priorities for NCAR were focused in four areas: (1) education of the public and professionals; (2) support of basic and applied research; (3) provision of an information resource and clearinghouse; and (4) advocacy initiatives. At the recommendation of the SHEA Board, discussions with the National Foundation for Infectious Diseases for the joint development of NCAR have begun.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.121
Threshold uncertainty score0.662

Codex and Gemma teacher scores by category

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

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 head0.012
GPT teacher head0.265
Teacher spread0.253 · 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 teacher head, 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

Citations12
Published2000
Admission routes1
Has abstractyes

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