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Record W4387435562 · doi:10.1007/s12325-023-02638-3

Summary of Research: Collaboration Between Healthcare Professionals and People with Multiple Sclerosis to Develop Communication Tools to Improve the Standard of Multiple Sclerosis Care

2023· article· en· W4387435562 on OpenAlexaff
Celia Oreja‐Guevara, Stanca Potra, Birgit Bauer, Diego Centonze, Maria-Paz Giambastiani, Gavin Giovannoni, Jürg Kesselring, Dawn Langdon, Sarah A. Morrow, Jocelyne Nouvet-Gire, Maija Pontaga, Peter Rieckmann, Sven Schippling, Nektaria Alexandri, Jane Shanahan, Heidi Thompson, Pieter van Galen, Patrick Vermersch, David Yeandle

Bibliographic record

VenueAdvances in Therapy · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicFamily Support in Illness
Canadian institutionsWestern University
FundersMerck KGaA
KeywordsMedicineMultiple sclerosisHealth professionalsHealth carePatient careNursingPsychiatry

Abstract

fetched live from OpenAlex

This is a summary of a previously published paper: Joint Healthcare Professional and Patient Development of Communication Tools to Improve the Standard of MS Care. It describes a collaboration between people with multiple sclerosis (PwMS) and healthcare professionals (HCPs) to identify challenges in multiple sclerosis (MS) care and design tools to improve communication during consultations.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.149
Threshold uncertainty score0.919

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.004
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
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 head0.121
GPT teacher head0.413
Teacher spread0.292 · 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 designObservational
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

Citations0
Published2023
Admission routes1
Has abstractyes

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