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Record W2576846872 · doi:10.1186/s13643-016-0395-1

Celebrities’ impact on health-related knowledge, attitudes, behaviors, and status outcomes: protocol for a systematic review, meta-analysis, and meta-regression analysis

2017· article· en· W2576846872 on OpenAlexafffund
Steven J. Hoffman, Yasmeen Mansoor, Navneet Natt, Lathika Sritharan, Belluz Julia, Timothy Caulfield, Yoni Freedhoff, John N. Lavis, Arya M. Sharma

Bibliographic record

VenueSystematic Reviews · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicMedia Influence and Health
Canadian institutionsCanadian Obesity NetworkMcMaster UniversityUniversity of AlbertaHamilton Health SciencesUniversity of TorontoMcMaster University Medical CentreUniversity of British ColumbiaUniversity of Ottawa
FundersCanadian Institutes of Health ResearchNorges ForskningsrådPierre Elliott Trudeau Foundation
KeywordsCINAHLPsycINFOMedicineMeta-analysisMEDLINEPublic healthHealth promotionSocial mediaPsychological interventionNursing

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)0.094
metaresearch head score (Gemma)0.145
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.094
Threshold uncertainty score0.498

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0940.145
Meta-epidemiology (narrow)0.0070.006
Meta-epidemiology (broad)0.0290.036
Bibliometrics0.0150.014
Science and technology studies0.0030.004
Scholarly communication0.0090.007
Open science0.0060.005
Research integrity0.0080.007
Insufficient payload (model declined to judge)0.0470.005

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 head0.274
GPT teacher head0.490
Teacher spread0.216 · 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 designSystematic review
Domainnot available
GenreProtocol

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

Citations80
Published2017
Admission routes2
Has abstractyes

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