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Record W3085677694 · doi:10.1111/jan.14527

Managing and sharing research data in children's palliative care: Risks, benefits and imponderables

2020· editorial· en· W3085677694 on OpenAlexaboutno aff
Nicky Harris, Jane Noyes, Lorna Fraser, Susie Lapwood, Emily Harrop, Maddie Blackburn, Jayne Price, Lizzie Chambers, Myra Bluebond‐Langner

Bibliographic record

VenueJournal of Advanced Nursing · 2020
Typeeditorial
Languageen
FieldSocial Sciences
TopicData Analysis and Archiving
Canadian institutionsnot available
FundersBangor UniversityUniversity of the West of EnglandNational Institute for Health and Care Research
KeywordsScrutinyPalliative carePsychological interventionPopulationLimitingMedicineNursingBest practicePsychologyPublic relationsMedical educationPolitical science

Abstract

fetched live from OpenAlex

OpenAlex records an abstract for this work, but it could not be fetched just now.

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)0.298
metaresearch head score (Gemma)0.699
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Open science
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.995
Threshold uncertainty score0.866

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.2980.699
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0060.005
Science and technology studies0.0090.026
Scholarly communication0.0290.034
Open science0.0050.019
Research integrity0.0210.026
Insufficient payload (model declined to judge)0.0060.003

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 head0.092
GPT teacher head0.447
Teacher spread0.356 · 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
GenreEditorial

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

Citations3
Published2020
Admission routes1
Has abstractyes

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