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Record W4392588964 · doi:10.1016/j.gimo.2024.101198

P302: Decoding genetic orchestration: Understanding the cellular and molecular mechanisms of the hematopoietic failure in Fanconi anemia

2024· article· en· W4392588964 on OpenAlex
Apichat Photia, Mariana Benicio, Hongbing Li, Houtan Moshiri, Richard N. Armstrong, Efe Sahinoglu, Vickey Breakey, Sharon Abhish, Stephanie Villeneuve, Roona Sinha, Catharine Corriveau-Bourque, MacGregor Steele, Yigal Dror

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueGenetics in Medicine Open · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDNA Repair Mechanisms
Canadian institutionsUniversity of AlbertaAlberta Children's HospitalRoyal University HospitalMcGill University Health CentreIzaak Walton Killam Health CentreMontreal Children's HospitalMcMaster UniversityDalhousie UniversityStollery Children's HospitalHospital for Sick Children
Fundersnot available
KeywordsFanconi anemiaOrchestrationBone marrow failureHaematopoiesisDecoding methodsAnemiaBiologyGeneticsComputational biologyComputer scienceMedicineDNA repairGeneStem cellInternal medicine

Abstract

fetched live from OpenAlex

Fanconi anemia (FA) is an inherited genetic disorder characterized by bone marrow failure, an elevated risk of cancer, and various congenital abnormalities. It is caused by mutations in one of at least 22 genes involved in the repair of interstrand DNA crosslinks.

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)0.001
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 score0.074
Threshold uncertainty score0.510

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.025
GPT teacher head0.283
Teacher spread0.258 · 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