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Proceedings of the 27th International Stroke Genetics Consortium Workshop

2024· article· en· W4391948913 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueNeurology Genetics · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer-related molecular mechanisms research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineLibrary scienceComputer science

Abstract

fetched live from OpenAlex

The ISGC is an international collaboration of physicians and scientists who have agreed to pool resources and expertise in an effort to unravel the genetic basis of stroke and its comorbidities.Founded in 2007 by a small group of stroke genetics investigators, the ISGC has grown to over 200 members representing over 50 countries in North and South America, Europe, Australia, Africa, and Asia.ISGC workshops are held semi-annually and provide a forum for ISGC investigators to report on progress of ongoing scientific projects and discuss new ideas that help advance the ISGC's research mission.The ISGC nurtures junior investigators by offering several travel awards to young investigators interested in stroke genetics.Many abstracts in these Proceedings reflect the contributions of active junior investigators.Herein, we present the Proceedings and official published abstracts of the 27th ISGC Workshop.Presentations at the workshop included invited lectures, ISGC working group reports, and short presentations about ongoing research projects and new collaborative proposals.Invited speakers, contributing in the areas of cross-ancestry approaches to stroke genetics, large biobank initiatives, rare genetic variants, imaging tools for cerebrovascular genomics and genetic contributions to drug discovery, included Ananyo Choudhury (University of the Witwatersrand), on cutting-edge genetic studies in African populations; Elisabeth Tournier-Lasserve (Paris Cit University), one of the world's lead experts of monogenic diseases affecting cerebral small vessels; Michel Thibaut de Schotten (University of Bordeaux), an international expert in neuroimaging and connectomics; and Vincent Mooser (McGill University), holder of the Canada excellence research chair in genomic medicine and expert in drug discovery and precision drug development.The ISGC actively invites other like-minded collaborative scientists to join the consortium.The next Workshops will be held in Melbourne, Australia in March 2023.We encourage you to visit our website (strokegenetics.org)for further details.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.244
Threshold uncertainty score0.592

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.011
GPT teacher head0.276
Teacher spread0.264 · 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