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Record W3133607072 · doi:10.1111/ijcp.14140

Plain‐language summaries: An essential component to promote knowledge translation

2021· article· en· W3133607072 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Journal of Clinical Practice · 2021
Typearticle
Languageen
FieldComputer Science
TopicTopic Modeling
Canadian institutionsCanadian Chiropractic AssociationUniversity of ManitobaManitoba Health
Fundersnot available
KeywordsPublishingWork (physics)Knowledge translationMedicinePublic relationsPlain languageSociology of scientific knowledgeScientific literatureEngineering ethicsKnowledge managementSociologySocial sciencePolitical scienceComputer science

Abstract

fetched live from OpenAlex

In this era of evidence-based practice, scholarly work such as peer-reviewed scientific publications plays a vital role in policy and decision-making at an individual, organisation and country-level. Alongside being considered an essential means of communicating scholarly work, scientific publications also investigate the specific domains that lack well-established literature and thereby inform scientists and researchers to thrive for the betterment of the publics' well-being. Thus, the main purpose of articulating the scientific, scholarly work should be to make it understandable and accessible to everyone, including the lay audience. However, oftentimes, researchers overlook the lay summaries while publishing the research findings.

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.

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)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.955
Threshold uncertainty score0.701

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.002
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 head0.479
Teacher spread0.358 · 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