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Record W3084009055 · doi:10.5152/dir.2020.20240

Analysis of potential predatory journals in radiology

2020· article· en· W3084009055 on OpenAlex
Serkan Arıbal, Okan İnce, Eyüp Kaya, Hakan Önder

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueDiagnostic and Interventional Radiology · 2020
Typearticle
Languageen
FieldMedicine
TopicRadiology practices and education
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMEDLINERadiologyMedical physics

Abstract

fetched live from OpenAlex

PURPOSE: The aim of this study is to determine the presence and evaluate the features of potential predatory journals in the radiology field. METHODS: The presence of the keywords related to radiology listed in the name of journals was investigated in Beall's list. We have searched and recorded the features and the information of the included journals listed under the following headings: address and location, publishing features, editorial board, indexing features, submission, and peer-review processes. RESULTS: A total of 66 radiology journals from 27 publishers were identified from the updated version of the original Beall's list. Regarding the publishers, 33 journals (50%) reported an address in the United States of America, while others were from United Kingdom, India, Hong Kong, Iran, and Canada. While 44 journals' (67%) website reported a contact address, no addresses were declared in the website of 21 journals (32%). The median time of publication activity was 3.5 years (interquartile range [IQR], 1-5 years; range, 0-16 years). Thirty-five journals (53%) indicated their publication ethics policy on the website. Forty-seven (71%) journals reported a regular editorial board (EB) list. The competency of the EB was considered as "inappropriate" in 27 (41%) journals. Only 18% of the total number of EB members had affiliations related to radiology (n=286/1566). Forty journals (61%) did not report any indexing and database coverage. We found 26 journals (39%) which had a DOI number in its latest 5 articles. Fifty-nine (89%) journals clearly reported article processing change (APC) on the webpage. The median APC value was 641.43 USD (IQR, 300-918.75 USD; range, 100-2588 USD). Considering the latest 5 articles, the number of journals with radiologic images in all of the articles was 8 (12%). Mean peer-review time was 63.5 days (IQR, 21.75-87.5 days; range, 1-237 days) for the journals which indicated the submission and acceptance dates clearly. CONCLUSION: We demonstrated the several main characteristics of potential predatory journals in the radiology field such as reliability of the reported address, APC, publication frequencies, indexing features, features of published article and peer-review time which were all found to be similar to the characteristics of potential predatory journals in other biomedical fields.

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.

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmaMetaresearchScholarly communication
Domain: Evaluation · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationallow
gptMetaresearchScholarly communicationResearch integrity
Domain: Evaluation · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationallow
models splitAgreement compares identical category sets and study designs across arms.

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)0.000
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.035
GPT teacher head0.344
Teacher spread0.309 · 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