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Record W1994198632 · doi:10.1212/wnl.65.6_suppl_3.s10

The staging and assessment of moderate to severe Alzheimer disease

2005· article· en· W1994198632 on OpenAlexaff
Howard Feldman, Michael Woodward

Bibliographic record

VenueNeurology · 2005
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsDiseaseMedicineCognitionAlzheimer's diseasePsychiatryPsychologyPathology

Abstract

fetched live from OpenAlex

Alzheimer disease (AD) and its stages are clinically defined by the patterns of gradual and progressive decline in cognition and in functional ability with accompanying neuropsychiatric symptoms. The moderate to severe AD (MSAD) stages are particularly important both for their prevalence and for the transitions that occur at these stages. In MSAD, cognitive losses accelerate, neuropsychiatric symptoms increase, and functional autonomy is lost. There is increasing burden on caregivers, who report poorer self-rated health, increased depressive symptoms, and more use of psychoactive medications. The neurologic care of MSAD demands both skilled assessment and management. Beyond the cognitive and neurobehavioral symptom complex in MSAD, a range of other issues also emerge, including gait and movement disorders, nutritional problems, and incontinence. This review addresses the symptoms and staging of AD and emphasizes the key management issues.

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 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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.153
Threshold uncertainty score0.138

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)0.0000.000

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 head0.026
GPT teacher head0.359
Teacher spread0.333 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations99
Published2005
Admission routes1
Has abstractyes

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