MétaCan
Menu
Back to cohort
Record W4384820954 · doi:10.2196/50784

Correction: Acceptability and Feasibility of a Return-to-Work Intervention for Posttreatment Breast Cancer Survivors: Protocol for a Co-design and Development Study

2023· erratum· en· W4384820954 on OpenAlexaffvenue
Karine Bilodeau, Marie-Michelle Gouin, Alexandra Lecours, Valérie Lederer, Marie‐José Durand, Kelley Kilpatrick, David Lepage, Lauriane Ladouceur-Deslauriers, Tomás Dorta

Bibliographic record

VenueJMIR Research Protocols · 2023
Typeerratum
Languageen
FieldSocial Sciences
TopicFamily Support in Illness
Canadian institutionsMcGill UniversityUniversité du Québec en OutaouaisCentre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-MontréalUniversité du Québec à Trois-RivièresUniversité de SherbrookeUniversité de MontréalHôpital Maisonneuve-Rosemont
Fundersnot available
KeywordsProtocol (science)Breast cancerIntervention (counseling)MedicineMedical educationPsychologyMedical physicsCancerAlternative medicineNursing

Abstract

fetched live from OpenAlex

[This corrects the article DOI: 10.2196/37009.].

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 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)0.032
metaresearch head score (Gemma)0.347
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: Protocol · Consensus signal: none
Teacher disagreement score0.087
Threshold uncertainty score0.289

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0320.347
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0030.002
Science and technology studies0.0050.003
Scholarly communication0.0030.002
Open science0.0050.003
Research integrity0.0080.013
Insufficient payload (model declined to judge)0.0870.026

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 head0.404
GPT teacher head0.593
Teacher spread0.189 · 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
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

Citations0
Published2023
Admission routes2
Has abstractyes

Explore more

Same venueJMIR Research ProtocolsSame topicFamily Support in IllnessFrench-language works237,207