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Record W2803806834 · doi:10.1007/s00134-018-5204-y

Prevalence and risk factors related to haloperidol use for delirium in adult intensive care patients: the multinational AID-ICU inception cohort study

2018· article· en· W2803806834 on OpenAlex
Marie Oxenbøll Collet, Jesús Caballero, Romain Sonneville, Fernando A. Bozza, Peter Nydahl, Anna Schandl, Hilden Wøien, Giuseppe Citerio, Mark van den Boogaard, Johanna Hästbacka, Matthias Hænggi, Kirsten Colpaert, Louise Rose, Marija Barbateskovic, Theis Lange, Aksel Karl Georg Jensen, Martin Buhl Krog, Ingrid Egerod, Helle Lykkeskov Nibro, Jørn Wetterslev, Anders Perner

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.

Bibliographic record

VenueIntensive Care Medicine · 2018
Typearticle
Languageen
FieldMedicine
TopicIntensive Care Unit Cognitive Disorders
Canadian institutionsHealth Sciences CentreSunnybrook Health Science Centre
FundersAstellas PharmaInselspital, Universitätsspital BernCSL BehringRigshospitaletEli Lilly and CompanyEdwards LifesciencesPfizerLes Laboratories Pierre FabreAstraZeneca
KeywordsMedicineDeliriumAnesthesiologyPain medicineCohortCohort studyIntensive careHaloperidolEmergency medicineIntensive care medicineIntensive care unitAnesthesiaInternal 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.

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)0.204
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-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 score0.326
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.204
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
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 head0.015
GPT teacher head0.301
Teacher spread0.286 · 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