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Record W2044131800 · doi:10.1159/000116473

Familial Factors in Alzheimer’s Disease (IMAGE Project)

2008· article· en· W2044131800 on OpenAlex
Marc De Braekeleer, A. Cholette, Jean Mathieu, Camil Boily, Yves Robitaille, D. Gauvreau

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueEuropean Neurology · 2008
Typearticle
Languageen
FieldPsychology
TopicHealth and Well-being Studies
Canadian institutionsMcGill UniversityCégep de ChicoutimiInstitut National de la Recherche ScientifiqueUniversité du Québec à Chicoutimi
Fundersnot available
KeywordsDiseaseAlzheimer's diseaseMedicineDegenerative diseaseNeurosciencePsychologyPathology

Abstract

fetched live from OpenAlex

Alzheimer's disease is now recognized as a major public health problem. Many hypotheses have tried to explain the etiology of Alzheimer's disease and, among them, genetic factors are considered one of the most plausible. A case-control study of familial factors, including sex distribution, age at onset, birth order, parental age, fertility, mortality, inbreeding and kindship, was conducted on 130 clinically diagnosed patients born in the Saguenay-Lac-St-Jean region (Quebec, Canada). The cases were screened by the IMAGE project. Our results showed that most factors studied are not associated with Alzheimer's disease. Inbreeding was found to be slightly increased in the Alzheimer group. Kindship was higher in the Alzheimer group than in the control groups, therefore confirming that familial predisposition is a very important risk factor.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.099
Threshold uncertainty score0.999

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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.002

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 head0.065
GPT teacher head0.333
Teacher spread0.268 · 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