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Record W4324311166 · doi:10.1210/clinem/dgad154

Withdrawn as duplicate: Expanding the phenotypic spectrum of Kenny-Caffey syndrome: a case series and systematic literature review

2023· review· en· W4324311166 on OpenAlexaff
Heidi Schigt, Martin Bald, Bram C. J. van der Eerden, Lars Gal, Barnabas P Ilenwabor, Martin Konrad, Michael A. Levine, Dong Li, Christoph J. Mache, Sharon Mackin, Colin Perry, Francisco J. Rios, Karl P. Schlingmann, Ben Storey, Christine M. Trapp, Annemieke J.M.H. Verkerk, M. Carola Zillikens, Rhian M. Touyz, Ewout J. Hoorn, Joost G.J. Hoenderop, Jeroen H. F. de Baaij

Bibliographic record

VenueThe Journal of Clinical Endocrinology & Metabolism · 2023
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer-related molecular mechanisms research
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsGenealogySeries (stratigraphy)Spectrum (functional analysis)HistoryBiologyPaleontologyPhysics

Abstract

fetched live from OpenAlex

This article has been withdrawn due to a publisher error that caused it to be duplicated. The definitive version of this article is published under https://doi.org/10.1210/clinem/dgad147.

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)0.003
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.013
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.018
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0060.007
Science and technology studies0.0010.001
Scholarly communication0.0020.003
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0130.003

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 head0.048
GPT teacher head0.408
Teacher spread0.361 · 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 designSystematic review
Domainnot available
GenreReview

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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