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Record W2138493173 · doi:10.1186/cc5095

Ethics review: position papers and policies--are they really helpful to front-line ICU teams?

2006· review· en· W2138493173 on OpenAlexaff
Laura Hawryluck

Bibliographic record

VenueCritical Care · 2006
Typereview
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsToronto General HospitalUniversity Health Network
Fundersnot available
KeywordsMedicineMandatePsychological interventionPosition paperPublic relationsIntensive care unitNoticeIntensive careNursingIntensive care medicinePolitical scienceLaw

Abstract

fetched live from OpenAlex

During the past few years the ethics sections of critical care societies have proposed a number of policies describing the goals of intensive care unit (ICU) care and providing broad guidance on the diagnoses and physiological criteria that would mandate using the specialized skill and technologies of an ICU environment. Discussions on what constitutes appropriate use of such scarce resources, incorporating cultural and religious beliefs and exploring how they interact with these medical criteria, remain vague. To date, these policies do not provide any definitive guidance in the difficult decision making faced by clinicians. Some argue that they were never meant to do so and yet they have served to guide the development of local hospital policies. Many have explored how critical care services are allocated without achieving consensus on the best way to achieve fair and equitable access to life-sustaining interventions. A consensus is needed though, one that is reflective of both individual and societal values and goals. Otherwise, increasing pressure to provide treatments with marginal benefits at best will threaten the ability of others to access treatments that may offer them very real benefits.

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 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)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.737
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.178
GPT teacher head0.513
Teacher spread0.336 · 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.

Study designNot applicable
Domainnot available
GenreReview

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

Citations14
Published2006
Admission routes1
Has abstractyes

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