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Record W4399653152 · doi:10.1016/j.lana.2024.100810

Importance of investigating vulnerabilities in health and social service provision among requestors of medical assistance in dying

2024· article· en· W4399653152 on OpenAlexaffabout
Yukiko Asada, Leslie Anne Campbell, Michel Grignon, Harneet Hothi, Tim Stainton, Scott Y. H. Kim

Bibliographic record

VenueThe Lancet Regional Health - Americas · 2024
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsCanadian Institute for Advanced ResearchCanada Research ChairsUniversity of TorontoMcMaster UniversityDalhousie University
FundersNational Institutes of HealthU.S. Department of Health and Human Services
KeywordsBusinessService (business)Computer securityComputer scienceInternet privacy

Abstract

fetched live from OpenAlex

Canada is one of several jurisdictions in the world that permit MAID, for persons meeting certain criteria.1 Unlike other jurisdictions allowing MAID such as the Netherlands, Canada does not explicitly require that MAID be a last resort, meaning that persons can be eligible for MAID even if there are reasonable, standard treatments or resources that would make their suffering tolerable but are inaccessible due to lack of availability, extended wait times, financial insecurity, or other reasons.2 The recently released Model Practice Standard states only treatments available to requestors need be discussed in informed consent for MAID.

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)0.020
metaresearch head score (Gemma)0.111
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.035
Threshold uncertainty score0.106

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0200.111
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0030.004
Scholarly communication0.0040.007
Open science0.0010.005
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0030.000

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 head0.257
GPT teacher head0.489
Teacher spread0.232 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreCommentary

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

Citations7
Published2024
Admission routes2
Has abstractyes

Explore more

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