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Record W2563307841 · doi:10.17269/cjph.107.5556

An update to the recommended core content for sun safety messages for public education in Canada: A consensus report

2016· article· en· W2563307841 on OpenAlexafffundvenueabout
Loraine D. Marrett, Maria B. H. Chu, John Atkinson, Robert K. Nuttall, Gillian Bromfield, Larry Hershfield, Cheryl F. Rosen

Bibliographic record

VenueCanadian Journal of Public Health · 2016
Typearticle
Languageen
FieldMedicine
TopicSkin Protection and Aging
Canadian institutionsMount Sinai HospitalToronto Western HospitalGolder Associates (Canada)University Health NetworkUniversity of TorontoCanadian Cancer SocietyPublic Health OntarioCancer Care Ontario
FundersCanadian Institutes of Health ResearchSaskatchewan Cancer AgencyCancer Care Ontario
KeywordsPublic relationsAction (physics)Promotion (chess)Content analysisScientific consensusPublic healthPolitical scienceInformation DisseminationProcess (computing)MedicineBusinessMedical educationComputer scienceNursingWorld Wide WebSociologyLaw

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.052
metaresearch head score (Gemma)0.081
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.117
Threshold uncertainty score0.466

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0520.081
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.006
Bibliometrics0.0120.010
Science and technology studies0.0060.003
Scholarly communication0.0080.004
Open science0.0110.005
Research integrity0.0080.014
Insufficient payload (model declined to judge)0.0080.004

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 head0.161
GPT teacher head0.358
Teacher spread0.197 · 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 designNot applicable
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

Citations17
Published2016
Admission routes4
Has abstractno

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