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Record W4404501316 · doi:10.36290/neu.2024.051

Progressive supranuclear palsy and Guam parkinsonian complex or a Canadian in the Pacific - John C. Steele (1934-2022)"

2024· article· en· W4404501316 on OpenAlexaboutno aff
Petr Kaňovský, Kateřina Menšíková, Miroslav Strnad, Alena Vydrová, Pavla Dubská

Bibliographic record

VenueNeurologie pro praxi · 2024
Typearticle
Languageen
FieldMedicine
TopicParkinson's Disease Mechanisms and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsProgressive supranuclear palsyPhysical medicine and rehabilitationMedicineGerontologyPsychologyNeuroscienceInternal medicineDisease

Abstract

fetched live from OpenAlex

John Charles Steele (1934-2022) byl kanadský neurolog, který spolu s Richardsonem a Olszewskim popsal novou nozologickou jednotku, které byla původně pojmenována eponymně, časem se ale ujalo označení progresivní supranukleární paralýza. Později se věnoval epidemiologickému a klinickému výzkumu endemického onemocnění amyotrofická laterální skleróza - parkinsonismus - demence komplex z ostrova Guam, zdokumentoval jeho výskyt, fenotypy, klinickou manifestaci, dědičnost a klesající incidenci i prevalenci. Zabýval se taktéž patofyziologií tohoto onemocnění, a řadu let zastával názor, že se jedná o hereditární polygenní onemocnění; až ke konci života přijal hypotézu, která manifestaci nemoci přisuzovala chronické intoxikaci neurotoxickými sloučeninami obsaženými v cykasových plodech: beta-methylamino-L-alanin (BMAA) a metylazoxymetanol (MAM).

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.250
Threshold uncertainty score0.504

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.053
GPT teacher head0.309
Teacher spread0.256 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2024
Admission routes1
Has abstractyes

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