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Record W2016945675 · doi:10.1159/000073969

A Systematic Review of Several Potential Non-Genetic Risk Factors for Multiple Sclerosis

2004· review· en· W2016945675 on OpenAlex

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.

Bibliographic record

VenueNeuroepidemiology · 2004
Typereview
Languageen
FieldMedicine
TopicMultiple Sclerosis Research Studies
Canadian institutionsQueen's University
FundersMultiple Sclerosis Society
KeywordsMedicineMultiple sclerosisRisk factorHormoneEnvironmental healthInternal medicineImmunology

Abstract

fetched live from OpenAlex

We reviewed the literature published in the English language to determine the weight of evidence for several potential non-genetic risk factors for multiple sclerosis, including solar ultraviolet radiation (UVR), sex hormones and dietary fat/fatty acids. We ranked the plausibility of each factor and graded the methodological rigour of case-control and cohort studies to determine whether there was a sufficient number of high-quality studies to weigh the evidence. Based on our criteria, the plausibility for solar UVR and sex hormones is good and fair for dietary fat/fatty acids. However, the body of epidemiologic evidence is insufficient for these three sets of risk factors. We did not find a sufficient number of methodologically rigorous studies to weigh the evidence for any of the potential risk factors we examined.

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)0.002
metaresearch head score (Gemma)0.067
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.065
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.067
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0130.003
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.146
GPT teacher head0.386
Teacher spread0.240 · 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