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Multi-Professional Recommendations for Access and Utilization of Critical Care Services: Towards Consistency in Practice and Ethical Decision-Making Processes

2011· article· en· W2128234613 on OpenAlexaff
Laura Hawryluck, Rédouane Bouali, Nathalie Danjoux Meth

Bibliographic record

VenueThe Journal of Law Medicine & Ethics · 2011
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsMinistry of Health and Long Term CareUniversity of OttawaOttawa HospitalUniversity Health Network
Fundersnot available
KeywordsConsistency (knowledge bases)NursingVariety (cybernetics)MedicineWork (physics)Critical care nursingPosition (finance)Position paperPsychologyBusinessHealth carePolitical scienceComputer science

Abstract

fetched live from OpenAlex

The ethics sections of Critical Care Societies have issued position statements and proposed a variety of position papers and policies describing the appropriate use of critical care services. These policies describe the goals of critical care provision — to support a patient through an acute, potentially reversible, life-threatening illness — and provide broad guidance on physiological and hemodynamic criteria that require the specialized care of an ICU environment. In recent years, many critical care professionals have, however, reported providing care they felt was inappropriate or futile even though most felt they should not have done so. Futile care encompasses treatments that will not work or treatments that have no chance of providing any benefit. ICU teams define care as inappropriate when it fails to restore a person to an awareness of self, and an ability to interact with their environment particularly when a lot of critical care resources are required. When patients experience significant amounts of pain and suffering, such care seems even more inappropriate.

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.

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)0.491
metaresearch head score (Gemma)0.655
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.491
Threshold uncertainty score0.627

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.4910.655
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0110.006
Science and technology studies0.0160.018
Scholarly communication0.0270.022
Open science0.0120.023
Research integrity0.0250.033
Insufficient payload (model declined to judge)0.0050.003

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 head0.557
GPT teacher head0.607
Teacher spread0.050 · 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
GenreOther

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

Citations4
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueThe Journal of Law Medicine & EthicsSame topicPalliative Care and End-of-Life IssuesFrench-language works237,207