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Record W2768486660

Comparative clinical efficacy of alemtuzumab and ocrelizumab in patients with relapsing-remitting multiple sclerosis: Number needed to treat analyses

2017· article· en· W2768486660 on OpenAlexaboutno aff
G. Comi, Aaron Boster, Raed Alroughani, Regina Berkovich, Guillermo Izquierdo, Daniel Kantor, Christopher LaGanke, Volker Limmroth, R. Macdonell, T. Moreau, Basil Sharrack, Heinz Wiendl, Bart Van Wijmeersch, David Margolin, K. Thangavelu, Maria Melanson, Mark S. Freedman

Bibliographic record

VenueDocument Server@UHasselt (UHasselt) · 2017
Typearticle
Languageen
FieldMedicine
TopicMultiple Sclerosis Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineRelapsing remittingMultiple sclerosisCartographyHumanitiesArtPsychiatryGeography
DOInot available

Abstract

fetched live from OpenAlex

[Comi, G.] Univ Vita Salute San Raffaele, Milan, Italy. [Boster, A.] OhioHealth, Columbus, OH USA. [Alroughani, R.] Amiri Hosp, Sharq, Kuwait. [Berkovich, R.] Univ Southern Calif, Keck Sch Med, Los Angeles, CA USA. [Izquierdo, G.] Virgen Macarena Univ Hosp, Seville, Spain. [Kantor, D.] Kantor Neurol, Coconut Creek, FL USA. [Laganke, C.] North Cent Neurol Associates, Cullman, AL USA. [Limmroth, V.] Klin Neurol & Palliat Med, Cologne, Germany. [Macdonell, R.] Florey Inst Neurosci & Mental Hlth, Brain Res Inst, Melbourne, Vic, Australia. [Moreau, T.] Univ Burgundy, Dijon, France. [Sharrack, B.] Sheffield Teaching Hosp NHS Fdn Trust, Sheffield, S Yorkshire, England. [Wiendl, H.] Univ Munster, Munster, Germany. [van Wijmeersch, B.] Hasselt Univ, Rehabil & MS Ctr Overpelt, Hasselt, Belgium. [Margolin, D. H.; Thangavelu, K.; Melanson, M.] Sanofi, Cambridge, MA USA. [Freedman, M. S.] Univ Ottawa, Ottawa, ON, Canada. [Freedman, M. S.] Ottawa Hosp Res Inst, Ottawa, ON, Canada.

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)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
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 head0.170
GPT teacher head0.438
Teacher spread0.268 · 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.

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

Citations0
Published2017
Admission routes1
Has abstractyes

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