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Record W2561040636 · doi:10.1055/s-0036-1597658

Defining Significant Events for Neonatal and Pediatric Transport: Results of a Combined Delphi and Consensus Meeting Process

2016· article· en· W2561040636 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Pediatric Intensive Care · 2016
Typearticle
Languageen
FieldMedicine
TopicNeonatal Respiratory Health Research
Canadian institutionsMcMaster UniversityWestern UniversityDalhousie UniversitySickKids FoundationUniversity of TorontoChildren's Hospital of Eastern OntarioHospital for Sick ChildrenUniversity of Ottawa
FundersCanadian Institutes of Health ResearchHealth CanadaHospital for Sick ChildrenUniversity of TorontoUniversity of AlbertaUniversity of OttawaCanadian Child Health Clinician Scientist ProgramCanadian Blood ServicesAustralian Government
KeywordsDelphi methodMedicineDelphiPsychological interventionQuality (philosophy)Process managementMedical emergencyNursingComputer scienceEngineering

Abstract

fetched live from OpenAlex

Objective To develop standardized definitions for a list of indicators that represent significant events during pediatric transport, which were previously identified by a national Delphi study. Methods We designed a three-phase consensus process that applied Delphi methodology to a combination of electronic questionnaires and a live consensus meeting. Results Thirty-one pediatric transport experts evaluated a total of 59 indicators. Twenty-four indicators represented events or interventions that did not require definition. One indicator was removed from the list. Definitions for the remaining 34 indicators were developed. Conclusion This standardized indicator list is intended for application to quality improvement and clinical research initiatives.

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)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.257
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
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 head0.032
GPT teacher head0.345
Teacher spread0.313 · 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