MétaCan
Menu
Back to cohort
Record W4412393297 · doi:10.21203/rs.3.rs-6865024/v1

Cost-Effectiveness Analysis of Mepitel Film for Prevention of Acute Radiation Dermatitis in Breast Cancer: a Canadian Healthcare Perspective

2025· preprint· en· W4412393297 on OpenAlexaffabout
Shirley S.W. Tse, Henry C.Y. Wong, Flay Charbonneau, Jeffrey Cao, Tarek Hijal, Marc Kerba, Mark R. Waddle, Shing Fung Lee, Stephen T. Sonis, Julie Ryan Wolf, Corina van den Hurk, Kimberly S. Corbin, Gustavo Nader Marta, Cindy Wong, Raymond J Chan BNurs, Patries M. Herst, Rosemary Hill, Edward Kai‐Hua Chow, Hayeon Kim

Bibliographic record

VenueResearch Square · 2025
Typepreprint
Languageen
FieldMedicine
TopicEffects of Radiation Exposure
Canadian institutionsLions Gate HospitalMcGill UniversityVancouver Coastal HealthUniversity of CalgaryUniversity of Toronto
FundersQueensland University of TechnologySeagenGilead SciencesAstraZeneca
KeywordsPerspective (graphical)Breast cancerHealth careMedicineCancerDermatologyMedical physicsBusinessFamily medicinePolitical scienceInternal medicineComputer scienceArtificial intelligence

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)0.004
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.074
Threshold uncertainty score0.537

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.013
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.006
Bibliometrics0.0020.003
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0020.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.000

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 head0.054
GPT teacher head0.473
Teacher spread0.420 · 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 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
Published2025
Admission routes2
Has abstractno

Explore more

Same venueResearch SquareSame topicEffects of Radiation ExposureFrench-language works237,207