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Record W2586480138 · doi:10.1016/s1474-4422(17)30007-8

Treatment effectiveness of alemtuzumab compared with natalizumab, fingolimod, and interferon beta in relapsing-remitting multiple sclerosis: a cohort study

2017· article· en· W2586480138 on OpenAlexafffund
Tomáš Kalinčík, J William L Brown, Neil P. Robertson, Mark Willis, Neil Scolding, Claire M Rice, Alastair Wilkins, Owen Pearson, Tjalf Ziemssen, Michael Hutchinson, Christopher McGuigan, Vilija Jokubaitis, Tim Spelman, Dana Horáková, Eva Havrdová, María Trojano, Guillermo Izquierdo, Alessandra Lugaresi, Alexandre Prat, Marc Girard, Pierre Duquette, Pierre Grammond, Raed Alroughani, Eugenio Pucci, Patrizia Sola, Raymond Hupperts, Jeannette Lechner‐Scott, Murat Terzi, Vincent Van Pesch, Csilla Rózsa, François Grand’Maison, Cavit Boz, Franco Granella, Mark Slee, Daniele Spitaleri, Javier Olascoaga, Roberto Bergamaschi, Freek Verheul, Steve Vucic, Pamela McCombe, Suzanne Hodgkinson, José Luis Sánchez-Menoyo, Radek Ampapa, Magdolna Simó, Tünde Csépány, Cristina Ramo‐Tello, Edgardo Cristiano, Michael Barnett, Helmut Butzkueven, Alasdair Coles

Bibliographic record

VenueThe Lancet Neurology · 2017
Typearticle
Languageen
FieldMedicine
TopicMultiple Sclerosis Research Studies
Canadian institutionsCentre intégré de santé et de services sociaux de Chaudière-AppalachesCentre Hospitalier de l’Université de MontréalUniversité de MontréalHôpital Notre-Dame
FundersNIH Clinical CenterNational Health and Medical Research CouncilCanadian Institutes of Health ResearchNovartis PharmaEMD SeronoH. Lundbeck A/SSanofi GenzymeIsfahan University of Medical SciencesMultiple Sclerosis SocietyCelgeneFondazione Italiana Sclerosi MultiplaBiogenYork UniversityUniversità degli Studi di FirenzeMultiple Sclerosis Society of CanadaUniverzita Karlova v PrazeDiabetes-StiftungNYU Langone Medical CenterJewish General HospitalNational Institute for Health and Care ResearchMedical Research CouncilTeva Pharmaceutical IndustriesGlaxoSmithKlineRosetrees TrustSanofi
KeywordsNatalizumabFingolimodMultiple sclerosisAlemtuzumabMedicineRelapsing remittingCohortInterferon betaInterferon beta-1aInterferon beta-1bInternal medicineOncologyImmunology

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 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)0.001
metaresearch head score (Gemma)0.001
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 score0.005
Threshold uncertainty score0.531

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.096
GPT teacher head0.335
Teacher spread0.239 · 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

Citations162
Published2017
Admission routes2
Has abstractno

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