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Record W4401056559 · doi:10.1016/j.aucc.2024.07.084

The many hats of a researcher in the intensive care unit – Moving towards integrating researchers into intensive care unit care teams

2024· editorial· en· W4401056559 on OpenAlexaff
Anmol Shahid, Sarah L. Lovelock, Julie Cussen, Henry T. Stelfox, Andrea P. Marshall

Bibliographic record

VenueAustralian Critical Care · 2024
Typeeditorial
Languageen
FieldMedicine
TopicIntensive Care Unit Cognitive Disorders
Canadian institutionsAlberta HealthAlberta Health Services
Fundersnot available
KeywordsMedicineIntensive care unitUnit (ring theory)NursingMedical emergencyIntensive care medicinePsychology

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.039
metaresearch head score (Gemma)0.146
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.990
Threshold uncertainty score0.208

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0390.146
Meta-epidemiology (narrow)0.0060.004
Meta-epidemiology (broad)0.0080.006
Bibliometrics0.0080.004
Science and technology studies0.0100.010
Scholarly communication0.0230.014
Open science0.0070.005
Research integrity0.0540.062
Insufficient payload (model declined to judge)0.0120.011

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 head0.088
GPT teacher head0.440
Teacher spread0.352 · 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 source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreEditorial

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

Citations0
Published2024
Admission routes1
Has abstractno

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