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Record W4205210345 · doi:10.1055/s-0038-1676383

Erratum to: Advanced Glycation End Products: Receptors for Advanced Glycation End Products Axis in Coronary Stent Restenosis: A Prospective Study

2018· erratum· en· W4205210345 on OpenAlexaff
Colin Pearce, Naorin Islam, Rhonda Bryce, Erick McNair

Bibliographic record

VenueInternational Journal of Angiology · 2018
Typeerratum
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAdvanced Glycation End Products research
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsGlycationMedicineAdvanced glycation end-productRestenosisInternal medicineAngiologyCardiologyReceptorCoronary restenosisCoronary stentStent

Abstract

fetched live from OpenAlex

Correction to: Advanced Glycation End Products:Receptors for Advanced Glycation End Products Axis in Coronary Stent Restenosis: A Prospective Study Int J Angiol 2018; 27(04): 213-222 DOI: 10.1055/s-0038-1673660 It has been brought to the Publisher's attention that the name of the third author of this article is incorrectly spelt as “Robyn Bryce” in the article published in International Journal of Angiology issue 27.4. DOI of the original article is: 10.1055/s-0038-1673660 . Third author name should be read as Dr Rhonda Bryce in place of Robyn Bryce. The correct list of authors is as above.

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)0.002
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.023
Threshold uncertainty score0.078

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.013
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0230.008

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 head0.017
GPT teacher head0.333
Teacher spread0.315 · 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
GenreOther

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
Published2018
Admission routes1
Has abstractyes

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