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Record W2910651943 · doi:10.6084/m9.figshare.4330688

Additional file 2: Figure S1. of Disorders of sex development: insights from targeted gene sequencing of a large international patient cohort

2016· article· en· W2910651943 on OpenAlexaboutno aff
Stefanie Eggers, Simon Sadedin, Jocelyn van den Bergen, Gorjana Robevska, Thomas Ohnesorg, Jacqueline Hewitt, Luke S. Lambeth, Aurore Bouty, Ingrid Knarston, Tiong Yang Tan, Fergus Cameron, George A. Werther, John Hutson, Michele OâConnell, Sonia Grover, Yves Héloury, Margaret Zacharin, Philip Bergman, Chris Kimber, Justin Brown, Nathalie Webb, Matthew F. Hunter, Shubha Srinivasan, Angela Titmuss, Charles F. Verge, David Mowat, Grahame Smith, Janine Smith, Lisa Ewans, Carolyn Shalhoub, Patricia Crock, Chris Cowell, Gary M. Leong, Makato Ono, Antony Lafferty, Tony Huynh, Uma Visser, Catherine S. Choong, Fiona McKenzie, Nicholas Pachter, Elizabeth Thompson, Jennifer Couper, Anne Baxendale, Jozef Gécz, Benjamin J. Wheeler, Craig Jefferies, Karen E. MacKenzie, Paul L. Hofman, Philippa Carter, Richard King, Csilla Krausz, Conny M.A. van Ravenswaaij‐Arts, Leendert H. J. Looijenga, S L S Drop, Stefan Riedl, Martine Cools, Angelika J. Dawson, Achmad Zulfa Juniarto, Vaman Khadilkar, Anuradha Khadilkar, Vijayalakshmi Bhatia, Vĺš DĹŠng, Irum Atta, Jamal Raza, Nguyen Thi Diem, Tran Kiem Hao, Vincent R. Harley, Peter Koopman, Garry L. Warne, Sultana MH Faradz, Alicia Oshlack, Katie Ayers, Andrew Sinclair

Bibliographic record

VenueFigshare · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicSexual Differentiation and Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsCohortCohort studyGeneMedicineGeneticsBiologyDemographyInternal medicine

Abstract

fetched live from OpenAlex

DSD gene variants in different global regions. DSD gene variants among the international cohort of 46,XY DSD patients. For ease of analysis, countries were grouped together into regions: Asia comprises Indonesia (97), Pakistan (25), Vietnam (35), Cambodia (16), India (1), a total of 174 patients ; Europe comprises the Netherlands (38), Austria (15), Belgium (6), and Italy (2), a total of 61 patients; and AUS & NZL comprises Australia (83) and New Zealand (7), a total of 90 patients. All curated variants are shown; those which have been curated and called pathogenic, likely pathogenic, and VUS. In the cohort from Asia, 35% of the patients were found to have a diagnostic variant (pathogenic or likely pathogenic), while this was 44% for Europe and 45% for AUS/NZL. Two patients from Canada were not included in the diagram. (PPTX 158 kb)

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)0.031
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.164
Threshold uncertainty score0.234

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.031
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.004
Science and technology studies0.0010.000
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.8360.121

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 head0.010
GPT teacher head0.214
Teacher spread0.205 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
Domainnot available
GenreDataset

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
Published2016
Admission routes1
Has abstractyes

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