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Record W2952012298 · doi:10.7224/1537-2073.2018-016

Posterior Fossa Lesion Load and Pathological Laughing and Crying in Multiple Sclerosis

2019· article· en· W2952012298 on OpenAlexaboutno aff
Jacqueline A. Luhoway, Manas Sharma, Suresh Menon, Heather Rosehart, Sarah A. Morrow

Bibliographic record

VenueInternational Journal of MS Care · 2019
Typearticle
Languageen
FieldMedicine
TopicMultiple Sclerosis Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMultiple sclerosisLesionPathologicalMagnetic resonance imagingCryingBrainstemMoodInternal medicineRadiologyPathologyPsychiatry

Abstract

fetched live from OpenAlex

CME/CNE Information Activity Available Online: To access the article, post-test, and evaluation online, go to http://www.cmscscholar.org. Target Audience: The target audience for this activity is physicians, physician assistants, nursing professionals, and other health care providers involved in the management of patients with multiple sclerosis (MS). Learning Objectives: Accreditation Statement: In support of improving patient care, this activity has been planned and implemented by the Consortium of Multiple Sclerosis Centers (CMSC) and Delaware Media Group. The CMSC is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team. Physician Credit The CMSC designates this journal-based activity for a maximum of 0.75 AMA PRA Category 1 Credit(s)™. Physicians should claim only the credit commensurate with the extent of their participation in the activity. Nurse Credit The CMSC designates this enduring material for 0.75 contact hour (none in the area of pharmacology). Disclosures: Editor in Chief of the International Journal of MS Care (IJMSC), has served as Physician Planner for this activity. He has disclosed relationships with Springer Publishing (royalty); Biogen (speakers' bureau); GW Pharma, Abide Therapeutics (consulting fee); and Adamas Pharmaceuticals (contracted research).Francois Bethoux, MD, has served as reviewer for this activity. She has disclosed no relevant financial relationships.Laurie Scudder, DNP, NP, has disclosed no relevant financial relationships.Jacqueline A. Luhoway, MD, has disclosed no relevant financial relationships.Manas Sharma, MD, has disclosed relationships with Roche, EMD Serono, Sanofi (consulting fee); and Roche (contracted research).Suresh Menon, MD, has disclosed no relevant financial relationships.Heather Rosehart, BScH, has disclosed relationships with Biogen, EMD Serono, Novartis, Roche, and Sanofi Genzyme (consulting fee, speakers' bureau, contracted research).Sarah A. Morrow, MD, MS, FRCPC (Neurology), One peer reviewer for IJMSC has disclosed relationships with Actelion, Bayer HealthCare, Biogen, Celgene, Chugai, Clene Nanomedicine, EMD Canada, Genzyme, Merck Serono, Novartis, F. Hoffman-La Roche, Pendopharm, Sanofi-Aventis, Teva Canada (consulting fee); Sanofi Genzyme (speakers' bureau); Genzyme Canada (contracted research); and Actelion, Bayer HealthCare, Biogen, Clene Nanomedicine, F. Hoffman-La Roche, Merck Serono, MedDay, Novartis, Sanofi-Aventis (advisory board, board of directors, or other similar group). The other peer reviewer has disclosed no relevant financial relationships. The staff at IJMSC, CMSC, and Delaware Media Group who are in a position to influence content have disclosed no relevant financial relationships. Note: Financial relationships for some authors may have changed in the interval between listing these disclosures and publication of the article. Method of Participation: Release Date: June 1, 2019 Valid for Credit Through: June 1, 2020 In order to receive CME/CNE credit, participants must: Statements of Credit are awarded upon successful completion of the post-test with a passing score of >70% and the evaluation. There is no fee to participate in this activity. Disclosure of Unlabeled Use: This educational activity may contain discussion of published and/or investigational uses of agents that are not approved by the FDA. CMSC and Delaware Media Group do not recommend the use of any agent outside of the labeled indications. The opinions expressed in the educational activity are those of the faculty and do not necessarily represent the views of CMSC or Delaware Media Group. Disclaimer: Participants have an implied responsibility to use the newly acquired information to enhance patient outcomes and their own professional development. The information presented in this activity is not meant to serve as a guideline for patient management. Any medications, diagnostic procedures, or treatments discussed in this publication should not be used by clinicians or other health-care professionals without first evaluating their patients' conditions, considering possible contraindications or risks, reviewing any applicable manufacturer's product information, and comparing any therapeutic approach with the recommendations of other authorities.

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)0.000
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 score0.245
Threshold uncertainty score0.270

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.089
GPT teacher head0.338
Teacher spread0.249 · 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

Citations5
Published2019
Admission routes1
Has abstractyes

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