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Record W4322736884 · doi:10.1038/s41598-023-30530-1

Author Correction: Pictograms to aid laypeople in identifying the addictiveness of gambling products (PictoGRRed study)

2023· erratum· en· W4322736884 on OpenAlexaff
Amandine Luquiens, Morgane Guillou, Julie Giustiniani, Servane Barrault, Julie Caillon, Hélèna Delmas, Sophia Achab, Bruno Bento, Joël Billieux, Damien Brevers, Aymeric Brody, Paul Brunault, Gaëlle Challet‐Bouju, Mariano Chóliz Montañés, Luke Clark, Aurélien Cornil, Jean‐Michel Costes, Gaëtan Devos, Rosa Díaz, Ana Estévez, Giacomo Grassi, Anders Håkansson, Yasser Khazaal, Daniel L. King, Francisco J. Labrador, Hibai López-González, Philip Newall, José C. Perales, Aurélien Ribadier, Guillaume Sescousse, Steve Sharman, Pierre Taquet, Isabelle Varescon, Cora von Hammerstein, Thierry Bonjour, Lucía Romo, Marie Grall‐Bronnec

Bibliographic record

VenueScientific Reports · 2023
Typeerratum
Languageen
FieldComputer Science
TopicDigital Media and Visual Art
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPictogramMedicinePsychologyComputer scienceLinguisticsPhilosophy

Abstract

fetched live from OpenAlex

Damien Brevers was omitted from the author list in the original version of this Article. As a result, the Author contributions section now reads:

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 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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.923
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.008
Science and technology studies0.0000.000
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0000.001
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 head0.077
GPT teacher head0.345
Teacher spread0.267 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEditorial

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 routes1
Has abstractyes

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