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Record W3031557324 · doi:10.1007/s12630-020-01713-5

Therapeutic alternatives and strategies for drug conservation in the intensive care unit during times of drug shortage: a report of the Ontario COVID-19 ICU Drug Task Force

2020· article· en· W3031557324 on OpenAlexaffabout
Salmaan Kanji, David Williamson, Michelle Pittman, Samuel Dubinsky, Deep Patel, Sabrina Natarajan, Robert MacLean, Jin‐Hyeun Huh, Damon C. Scales, David Neilipovitz, Kirsten Wentlandt, Ally Dhalla, Christine Donaldson, Vivian Leong, Angie Wong, Patrick Dicerni, Ivan Yuen, Claude Soulodre, Terri Donovan

Bibliographic record

VenueCanadian Journal of Anesthesia/Journal canadien d anesthésie · 2020
Typearticle
Languageen
FieldMedicine
TopicIntensive Care Unit Cognitive Disorders
Canadian institutionsSunnybrook Health Science CentreUniversité de MontréalHôpital du Sacré-Cœur de MontréalUniversity Health NetworkUniversity of TorontoMount Sinai HospitalOttawa Hospital
Fundersnot available
KeywordsPandemicEconomic shortageDelphi methodIntensive care unitMedicineCoronavirus disease 2019 (COVID-19)Unit (ring theory)Intensive care medicineBusinessDiseaseComputer sciencePsychology

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)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.386
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.022
GPT teacher head0.262
Teacher spread0.239 · 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 designQualitative
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

Citations23
Published2020
Admission routes2
Has abstractno

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Same venueCanadian Journal of Anesthesia/Journal canadien d anesthésieSame topicIntensive Care Unit Cognitive DisordersFrench-language works237,207