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Record W4239378761 · doi:10.1177/082585971202800313

Selected Abstracts

2012· article· en· W4239378761 on OpenAlexaffabout
Palliative Care Mcgill, David J. Roy

Bibliographic record

VenueJournal of Palliative Care · 2012
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsMcGill University
Fundersnot available
KeywordsAudience measurementPalliative carePublicationEditorial boardLibrary scienceMedicinePolitical sciencePsychologyNursingLawComputer science

Abstract

fetched live from OpenAlex

It is my responsibility, as editor of the Journal of Palliative Care, to ensure that the readership is kept up to date on important events and advances in the field. The publication of abstracts on appropriate occasions serves this purpose. The 19th International Congress on Palliative Care merits serious attention in this Canadian-based international journal. I am happy to publish selected abstracts of research fora, workshops and proffered papers, and posters that will be presented to this interdisciplinary gathering of palliative care experts from around the world. Since the Journal is dedicated to promoting quality articles and methodologically rigorous research in palliative care, I look forward to the publication in the near future of a number of the papers announced in these abstracts.

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)0.004
metaresearch head score (Gemma)0.025
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.710
Threshold uncertainty score0.969

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.025
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0060.004
Science and technology studies0.0020.001
Scholarly communication0.0060.003
Open science0.0020.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.2900.167

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 head0.128
GPT teacher head0.433
Teacher spread0.305 · 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

Citations0
Published2012
Admission routes2
Has abstractyes

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