MétaCan
Menu
Back to cohort
Record W2144781915 · doi:10.1016/s1474-4422(11)70045-x

Clinical, environmental, and genetic determinants of multiple sclerosis in children with acute demyelination: a prospective national cohort study

2011· article· en· W2144781915 on OpenAlexaff
Brenda Banwell, Amit Bar‐Or, Douglas L. Arnold, A. Dessa Sadovnick, Sridar Narayanan, Melissa McGowan, Julia O’Mahony, Sandra Magalhaes, Heather Hanwell, Reinhold Vieth, Raymond Tellier, Thierry Vincent, Giulio Disanto, George C. Ebers, Katherine Wambera, Mary Connolly, Jerome Y. Yager, Jean K. Mah, Fran Booth, Guillaume Sébire, David Callen, Brandon Meaney, Marie-Emmanuelle Dilenge, Anne Lortie, Daniela Pohl, Asif Doja, Sunita Venketaswaran, Simon A. Levin, Eilidh Macdonald, David Meek, Ellen Wood, Noel Lowry, David Buckley, Conrad Yim, Mark Awuku, Pamela Cooper, François Grand’Maison, Janis Baird, Virender Bhan, Ruth Ann Marrie

Bibliographic record

VenueThe Lancet Neurology · 2011
Typearticle
Languageen
FieldMedicine
TopicMultiple Sclerosis Research Studies
Canadian institutionsDalhousie UniversityHôpital Charles-Le MoyneThe Scarborough HospitalWindsor Regional HospitalTrillium Health CentreJaneway Children's Health and Rehabilitation CentreChildren's Hospital of Western OntarioUniversity of ManitobaChildren's Hospital of Eastern OntarioCentre Hospitalier Universitaire Sainte-JustineMcMaster Children's HospitalMontreal Neurological Institute and HospitalQueen's UniversityAlberta Children's HospitalChildren's Hospital of WinnipegMount Sinai HospitalUniversity of CalgaryMcGill UniversityBC Children's HospitalIzaak Walton Killam Health CentreRoyal University HospitalMontreal Children's HospitalSudbury Regional HospitalUniversity of TorontoUniversity of British ColumbiaSaint John Regional HospitalSickKids FoundationStollery Children's HospitalHospital for Sick ChildrenVictoria General HospitalCentre Hospitalier Universitaire de Sherbrooke
Fundersnot available
KeywordsMultiple sclerosisMedicineProspective cohort studyCohortCohort studyPediatricsEnvironmental healthInternal medicineImmunology

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.002
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.032
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.099
GPT teacher head0.337
Teacher spread0.238 · 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 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

Citations318
Published2011
Admission routes1
Has abstractno

Explore more

Same venueThe Lancet NeurologySame topicMultiple Sclerosis Research StudiesFrench-language works237,207