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Record W4292543993 · doi:10.1002/cjp2.293

<scp>PRAME</scp> protein expression in <scp>DICER1</scp>‐related tumours

2022· erratum· en· W4292543993 on OpenAlexaff
Paul S. Thorner, Anne‐Sophie Chong, Javad Nadaf, Naciba Benlimame, Paula Marrano, Rose Chami, Lili Fu, William D. Foulkes

Bibliographic record

VenueThe Journal of Pathology Clinical Research · 2022
Typeerratum
Languageen
FieldMedicine
TopicCongenital Diaphragmatic Hernia Studies
Canadian institutionsHospital for Sick ChildrenMcGill UniversityMcGill Genome CentreMcGill University Health CentreJewish General HospitalUniversity of Toronto
Fundersnot available
KeywordsMinor (academic)Protein expressionExpression (computer science)Molecular biologyChemistryComputer scienceCombinatoricsBiologyMathematicsBiochemistryProgramming languagePhilosophyGeneHumanities

Abstract

fetched live from OpenAlex

The authors have identified some minor errors in the published version of the supplementary tables for this paper. Corrected tables are provided here and supersede the previously published versions. The authors apologise for any inconvenience caused. c.3080_3081insCT, p.Gln1028CysfsTer39 c.5487_5490delAGTC, p.Val1830GlyfsTer7

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)0.050
metaresearch head score (Gemma)0.202
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity
Consensus categoriesMetaresearch, Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.647
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0500.202
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0020.002
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0020.002
Research integrity0.0020.031
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 head0.125
GPT teacher head0.456
Teacher spread0.331 · 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; both teacher heads agree on what is shown here.

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

Citations2
Published2022
Admission routes1
Has abstractyes

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