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Record W4413209517 · doi:10.1016/j.ocarto.2025.100659

Corrigendum to ‘Networking in the osteoarthritis research community in the digital era’ [Osteoarthr Cartil Open 7 (2025) 100650]

2025· erratum· en· W4413209517 on OpenAlexaff
Rachel K Nelligan, Anca Maglaviceanu, Jocelyn L. Bowden, Jackie L. Whittaker, Tobias Winkler, J. Runhaar, Mohit Kapoor, Chunyi Wen

Bibliographic record

VenueOsteoarthritis and Cartilage Open · 2025
Typeerratum
Languageen
FieldMedicine
TopicMedical and Biological Sciences
Canadian institutionsResearch CanadaUniversity of British ColumbiaArthritis Research Centre of CanadaUniversity of Toronto
Fundersnot available
KeywordsOsteoarthritisOpen researchMedicineData scienceComputer sciencePsychologyAlternative medicineWorld Wide WebPathology

Abstract

fetched live from OpenAlex

[This corrects the article DOI: 10.1016/j.ocarto.2025.100650.].

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)0.011
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity
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 score0.651
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0030.000
Open science0.0050.005
Research integrity0.0010.005
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 head0.108
GPT teacher head0.365
Teacher spread0.257 · 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
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 routes1
Has abstractyes

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