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Record W3081816990 · doi:10.5770/cgj.23.457

Pandemic Dementia Scarce Resource Allocation

2020· article· en· W3081816990 on OpenAlexafffundvenueabout
Eric E. Smith, Philippe Couillard, John D. Fisk, Zahinoor Ismail, Manuel Montero‐Odasso, Julie M. Robillard, Isabelle Vedel, Saskia Sivananthan, Serge Gauthier

Bibliographic record

VenueCanadian Geriatrics Journal · 2020
Typearticle
Languageen
FieldMedicine
TopicIntensive Care Unit Cognitive Disorders
Canadian institutionsAlzheimer Society of CanadaUniversity of British ColumbiaMcGill University Health CentreLawson Health Research InstituteWestern UniversityNova Scotia Health AuthorityBC Children's HospitalDalhousie UniversityMcGill UniversityUniversity of Calgary
FundersAlzheimer Society
KeywordsMedicineDementiaPandemicCoronavirus disease 2019 (COVID-19)Contingency planDiseaseTask forceMedical emergencyTask (project management)Intensive care medicineInfectious disease (medical specialty)Pathology

Abstract

fetched live from OpenAlex

Hospitals and intensive care units are straining to provide care for a large surge of patients with coronavirus disease 19 (Covid-19). Contingency plans are being made for the possibility that resources for lifesaving care, including mechanical ventilators, will be in short supply. Covid-19 is more severe and more likely to be fatal in older persons. Dementia is one of the commonest severe comorbidities of aging. Persons with dementia are vulnerable and often need the support of others to make their voices heard. This commentary, created by a task force commissioned by the Alzheimer Society of Canada, provides guidance for triaging persons with dementia to scarce medical resources during the Covid-19 pandemic.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.196
Threshold uncertainty score0.570

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.247
Teacher spread0.224 · 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 designNot applicable
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

Citations12
Published2020
Admission routes4
Has abstractyes

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