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Record W1965817738 · doi:10.1067/mic.2000.106337

Infection control in cystic fibrosis: Practical recommendations for the hospital, clinic, and social settings

2000· article· en· W1965817738 on OpenAlexaffabout
Lisa Saiman, Noni E. MacDonald, Jane L. Burns, Niels Høiby, David P. Speert, David J. Weber

Bibliographic record

VenueAmerican Journal of Infection Control · 2000
Typearticle
Languageen
FieldImmunology and Microbiology
TopicMedical Device Sterilization and Disinfection
Canadian institutionsUniversity of British ColumbiaDalhousie UniversityUniversity of Ottawa
Fundersnot available
KeywordsMedicineCystic fibrosisInfection controlStenotrophomonas maltophiliaTransmission (telecommunications)Pseudomonas aeruginosaFamily medicineNontuberculous mycobacteriaOutpatient clinicAirborne transmissionHealth careIntensive care medicineInternal medicinePathologyDiseaseCoronavirus disease 2019 (COVID-19)Infectious disease (medical specialty)Tuberculosis

Abstract

fetched live from OpenAlex

The following is a synopsis of a 2-hour symposium entitled “Infection Control in Cystic Fibrosis: Practical Recommendations for the Hospital, Clinic, and Social Settings” held at the Cystic Fibrosis North American Meeting on October 17, 1998, in Montreal, Quebec, Canada. The symposium topic was requested by health care workers (HCWs) who have previously attended this annual meeting and are representative of members of the multidisciplinary team that care for patients with cystic fibrosis (ie, physicians, nurses, respiratory therapists, nutritionists, and social workers). Two of the authors (L. S. and N. M.) served as co-chairpersons and selected the topics and speakers. Speakers were asked to provide practical, evidence-based recommendations. Topics included transmission of potential pathogens (eg, Burkholderia cepacia, Pseudomonas aeruginosa, methicillin-resistant Staphylococcus aureus [MRSA], Stenotrophomonas maltophilia, nontuberculous mycobacteria, and viruses), care of the inanimate environment, and prevention of possible transmission in outpatient settings. Because patient-to-patient transmission of P aeruginosa remains controversial, a debate that used a point/counterpoint format was presented by two of the speakers (N. H. and D. S.).

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.827
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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)0.0010.000

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 head0.010
GPT teacher head0.305
Teacher spread0.295 · 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.

Study designOther design
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

Citations22
Published2000
Admission routes2
Has abstractyes

Explore more

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