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Record W1909039063 · doi:10.1186/2050-5736-3-s1-p20

Mouse positioning device for blood brain barrier FUS exposure

2015· article· en· W1909039063 on OpenAlexaff
Shawn Gong, Bruno Adamczyk, Cleiton Dos Santos, Thiabault Estrade, Laura Curiel

Bibliographic record

VenueJournal of Therapeutic Ultrasound · 2015
Typearticle
Languageen
FieldMedicine
TopicLysosomal Storage Disorders Research
Canadian institutionsThunder Bay Regional Research Institute
FundersFocused Ultrasound Foundation
KeywordsEnzyme replacement therapyMedicineGlucocerebrosideBlood–brain barrierGaucher's diseasePositron emission tomographyGlucocerebrosidaseEnzymeDiseaseCentral nervous systemPathologyInternal medicineRadiologyBiochemistry

Abstract

fetched live from OpenAlex

Background/introductionGaucher's disease is an inherited metabolic disorder that results in a deficiency of the enzyme glucocerebrosidase, which acts on the glycolipid glucocerebroside.This causes a rapid accumulation of glucocerebroside in affected persons, which manifests in organ malfunctions and disfiguration, swelling, and severe neurologic complications, among other symptoms.Enzyme replacement therapy can manage the symptoms but when the brain is affected, the treatment is not effective since the enzymes cannot cross the blood brain barrier (BBB).

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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: Methods · Consensus signal: Methods
Teacher disagreement score0.012
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0120.003

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 head0.050
GPT teacher head0.336
Teacher spread0.286 · 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 designBench or experimental
Domainnot available
GenreMethods

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
Published2015
Admission routes1
Has abstractyes

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