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Association of advanced airway device with chest compression fraction during out-of-hospital cardiopulmonary arrest

2015· article· en· W1884713348 on OpenAlexafffund
Michael C. Kurz, David K. Prince, James Christenson, Jestin N. Carlson, Dion Stub, Sheldon Cheskes, Steve Lin, Michael Aziz, Michael Austin, Christian Vaillancourt, Justin Colvin, Henry E. Wang

Bibliographic record

VenueResuscitation · 2015
Typearticle
Languageen
FieldMedicine
TopicCardiac Arrest and Resuscitation
Canadian institutionsOttawa HospitalUniversity of OttawaSunnybrook HospitalUniversity of TorontoSt. Michael's HospitalUniversity of British Columbia
FundersResearch and DevelopmentAmerican Heart AssociationUniversity of WashingtonCanadian Institutes of Health ResearchNational Heart, Lung, and Blood InstituteU.S. ArmyNational Institutes of HealthMedical College of WisconsinNational Institute of Neurological Disorders and StrokeUniversity of Alabama at BirminghamUniversity of PittsburghOregon Health and Science UniversityUniversity of California
KeywordsMedicineCardiopulmonary resuscitationAirwayIntubationAnesthesiaResuscitationLaryngeal mask airwayEmergency medical servicesAirway managementCardiologyInternal medicineEmergency medicine

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)0.000
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 score0.149
Threshold uncertainty score0.500

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 head0.013
GPT teacher head0.271
Teacher spread0.258 · 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

Citations48
Published2015
Admission routes2
Has abstractno

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