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Record W2921385912 · doi:10.1016/j.jpeds.2018.12.011

Central Line-Associated Blood Stream Infections and Non–Central Line-Associated Blood Stream Infections Surveillance in Canadian Tertiary Care Neonatal Intensive Care Units

2019· article· en· W2921385912 on OpenAlexafffundabout
Amy R. Zipursky, Eugene W. Yoon, Julie Emberley, Valérie Bertelle, Jaideep Kanungo, Shoo K. Lee, Prakesh S. Shah, Joseph Ting, Zenon Cieslak, Rebecca Sherlock, Wendy Yee, Jennifer Toye, Carlos Fajardo, Zarin Kalapesi, Koravangattu Sankaran, Sibasis Daspal, Mary Seshia, Ruben Alvaro, Amit Mukerji, Orlando da Silva, Chuks Nwaesei, Kyong‐Soon Lee, Michael Dunn, Brigitte Lemyre, Kimberly Dow, Ermelinda Pelausa, Keith J. Barrington, Anie Lapoint, Christine Drolet, Martine Claveau, Marc Beltempo, Édith Massé, Roderick Canning, Hala Makary, Cecil Ojah, Luis Monterrosa, Jehier Afifi, Andrzej Kajetanowicz

Bibliographic record

VenueThe Journal of Pediatrics · 2019
Typearticle
Languageen
FieldMedicine
TopicNeonatal and Maternal Infections
Canadian institutionsUniversity of VictoriaPublic Health OntarioUniversity of British ColumbiaUniversité de SherbrookeMemorial University of NewfoundlandMount Sinai HospitalJaneway Children's Health and Rehabilitation CentreUniversity of Toronto
FundersCanadian Institutes of Health ResearchMinistry of Health, Ontario
KeywordsMedicineCentral lineSepsisNeonatal intensive care unitBlood cultureIncidence (geometry)Blood streamIntensive careRetrospective cohort studyMeningitisNeonatal sepsisCentral venous catheterEmergency medicinePediatricsAntibioticsInternal medicineIntensive care medicineCatheterSurgery

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.346
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.006
GPT teacher head0.228
Teacher spread0.222 · 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 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

Citations25
Published2019
Admission routes3
Has abstractno

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