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Record W4283208540 · doi:10.1017/cjn.2022.265

A Novel CSF1R Mutation Mimicking Frontotemporal Dementia: A Glimpse into a Microgliopathy

2022· letter· en· W4283208540 on OpenAlexvenueno aff
Francesco Misirocchi, Alessandro Zilioli, Alberto Benussi, Sabina Capellari, Carlotta Mutti, Irene Florindo, Marco Spallazzi, Liborio Parrino

Bibliographic record

VenueCanadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques · 2022
Typeletter
Languageen
FieldNeuroscience
TopicNeuroinflammation and Neurodegeneration Mechanisms
Canadian institutionsnot available
FundersAssociazione Italiana Ricerca AlzheimerFondazione Cariplo
KeywordsFrontotemporal dementiaDementiaMutationMedicineFrontotemporal lobar degenerationNeurosciencePsychologyGeneticsBiologyPathologyGeneDisease

Abstract

fetched live from OpenAlex

CSF1R-related leukoencephalopathy (CRL), formerly defined as adult-onset leukoencephalopathy with axonal spheroids and pigmented glia, hereditary diffuse leukoencephalopathy with spheroids, and pigmentary orthochromatic leukodystrophy (POLD), is a rare autosomal dominant leukoencephalopathy due to mutations in the CSF1R gene.1 This gene codes for the colony stimulating factor 1 receptor (CSF1R), a transmembrane tyrosine kinase receptor mainly expressed in microglia. The most accepted pathogenetic mechanism is CSF1R haploinsufficiency, causing a microgliopathy with primary axonopathy followed by demyelination.2 Characteristic pathological findings are reduced, dysmorphic and pigmented microglia, giant neuroaxonal swellings (spheroids) and blood-brain barrier (BBB) impairment. Patients typically show cognitive decline and neuropsychiatric symptoms, accompanied by motor signs.

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)0.000
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.001
Science and technology studies0.0030.002
Scholarly communication0.0010.002
Open science0.0020.001
Research integrity0.0090.004
Insufficient payload (model declined to judge)0.0030.001

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 head0.048
GPT teacher head0.264
Teacher spread0.216 · 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 designCase report
Domainnot available
GenreEmpirical

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

Citations3
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques→Same topicNeuroinflammation and Neurodegeneration Mechanisms→French-language works237,207→