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Record W3165626456 · doi:10.1159/000514437

Building the Future Therapies for Down Syndrome: The Third International Conference of the T21 Research Society

2021· article· en· W3165626456 on OpenAlexaff
Mara Dierssen, Yann Hérault, Pablo Helguera, María Martínez de Lagrán, Anna Vazquez, Bradley T. Christian, María Carmona‐Iragui, Frances K. Wiseman, William C. Mobley, Elizabeth Fisher, Véronique Brault, Anna J. Esbensen, Lisa M. Jacola, Marie Claude Potier, Eric D. Hamlett, Leonard Abbeduto, Laura del Hoyo Soriano, Jorge Busciglio, M. Florencia Iulita, John D. Crispino, Sébastien Malinge, Eugenio Barone, Marzia Perluigi, Floriana Costanzo, Jean Maurice Delabar, Renata Bartesaghi, Alain D. Dekker, Peter Paul De Deyn, Patricia A. Shaw, Tarik F. Haydar, Stephanie L. Sherman, André Strydom, Anita Bhattacharyya

Bibliographic record

VenueMolecular Syndromology · 2021
Typearticle
Languageen
FieldMedicine
TopicDown syndrome and intellectual disability research
Canadian institutionsUniversité de MontréalMcGill University
FundersNational Institute on AgingNational Institutes of HealthNational Centre for the Replacement, Refinement and Reduction of Animals in Research“la Caixa” FoundationWellcome Trust
KeywordsDown syndromeMedicineTrisomyPresentation (obstetrics)Political scienceNeurosciencePsychiatryPsychologyBiologyGenetics

Abstract

fetched live from OpenAlex

Research focused on Down syndrome has increased in the last several years to advance understanding of the consequences of trisomy 21 (T21) on molecular and cellular processes and, ultimately, on individuals with Down syndrome. The Trisomy 21 Research Society (T21RS) is the premier scientific organization for researchers and clinicians studying Down syndrome. The Third International Conference of T21RS, held June 6-9, 2019, in Barcelona, Spain, brought together 429 scientists, families, and industry representatives to share the latest discoveries on underlying cellular and molecular mechanisms of T21, define cognitive and behavioral challenges and better understand comorbidities associated with Down syndrome, including Alzheimer's disease and leukemia. Presentation of cutting-edge results in neuroscience, neurology, model systems, psychology, cancer, biomarkers and molecular and phar-ma-cological therapeutic approaches demonstrate the compelling interest and continuing advancement in all aspects of understanding and ameliorating conditions associated with T21.

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)0.018
metaresearch head score (Gemma)0.016
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: Editorial · Consensus signal: none
Teacher disagreement score0.018
Threshold uncertainty score0.096

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.016
Meta-epidemiology (narrow)0.0020.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0020.001
Science and technology studies0.0030.004
Scholarly communication0.0090.009
Open science0.0010.008
Research integrity0.0090.019
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 head0.074
GPT teacher head0.385
Teacher spread0.311 · 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
GenreEditorial

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

Citations10
Published2021
Admission routes1
Has abstractyes

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