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Record W2056848913 · doi:10.1086/429821

Infected Physicians and Invasive Procedures: Safe Practice Management

2005· article· en· W2056848913 on OpenAlexfundno aff
Angelique M. Reitsma, Michael L. Closen, Marc Cunningham, H. N. F. Minich, Julián David Moreno, Ronald Lee Nichols, Richard D. Pearson, Robert G. Sawyer, Brian Wispelwey, Patricia M. Tereskerz, Paul A. Lombardo

Bibliographic record

VenueClinical Infectious Diseases · 2005
Typearticle
Languageen
FieldMedicine
TopicInfection Control in Healthcare
Canadian institutionsnot available
FundersCanadian Medical AssociationRockefeller Brothers Fund
KeywordsMedicineBioethicsHuman immunodeficiency virus (HIV)Hepatitis B virusFamily medicinePublic healthHepatitis C virusEpidemiologyVirologyPathologyVirusLawPolitical science

Abstract

fetched live from OpenAlex

There is currently no public policy that provides guidance concerning whether and when physicians infected with hepatitis B virus (HBV), hepatitis C virus (HCV), and/or human immunodeficiency virus (HIV) can safely perform invasive procedures. A committee of experts in the fields of medicine, law, and biomedical ethics and 1 community member, aided by an advisory board, was established to produce recommendations for policy reform. An extensive literature review was conducted for these 3 infectious diseases, medicine, surgery, epidemiology, law, and bioethics to gather all relevant data. Special recommendations are made regarding the management of physicians who are infected with HIV, HBV, and/or HCV. This policy proposal includes a list of exposure-prone procedures and a decision chart that indicates under what conditions infected physicians can practice beyond the need for disclosure of their serological status.

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)0.060
metaresearch head score (Gemma)0.144
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: Other · Consensus signal: none
Teacher disagreement score0.060
Threshold uncertainty score0.319

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0600.144
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.002
Science and technology studies0.0050.008
Scholarly communication0.0090.009
Open science0.0030.009
Research integrity0.0100.008
Insufficient payload (model declined to judge)0.0070.002

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 head0.026
GPT teacher head0.392
Teacher spread0.366 · 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
GenreOther

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

Citations37
Published2005
Admission routes1
Has abstractyes

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