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Record W7135692173

The Independence in Persons with Multiple Sclerosis from the Perspective of the Occupational Therapist

2020· dissertation· cs· W7135692173 on OpenAlexaboutno aff
Eliška Rotbartová

Bibliographic record

VenueDigital Repository (National Repository of Grey Literature) · 2020
Typedissertation
Languagecs
FieldMedicine
TopicMultiple Sclerosis Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsIndependence (probability theory)Perspective (graphical)Multiple sclerosisOccupational therapyCompensation (psychology)Bachelor
DOInot available

Abstract

fetched live from OpenAlex

BACHELOR THESIS ABSTRACT Name, Surname: Eliška Rotbartová Supervisor: Mgr. Klára Novotná, Ph.D. Consultant: Mgr. Kateřina Rybářová Title: The Independence in Persons with Multiple Sclerosis from the Perspective of the Occupational Therapist Abstract: The bachelor thesis is focused on the independence in persons with multiple sclerosis (MS) from the perspective of the occupational therapist. Multiple sclerosis is a chronic autoimmune demyelinating disease. The progress and symptoms of the disease are variable and specific to each patient, who may be impaired in his/her ability to perform activities of daily living (ADL). The aim of the thesis is to map problematic areas in ADL in persons with MS. The thesis consists of a theoretical part and a practical part. The theoretical part describes MS, pathogenesis, forms, symptoms, and treatment options. The theoretical part characterizes independence in ADL, evaluation of independence, independence in persons with MS, care for these persons, and compensation strategies. In the practical part, questionnaires distributed among patients were evaluated. The obtained data were compared on the basis of demographic data of patients. Case reports of three patients with MS were processed to illustrate the specific problems in ADL, using the Canadian Occupational Performance...

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 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)0.001
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.027
GPT teacher head0.280
Teacher spread0.253 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueDigital Repository (National Repository of Grey Literature)Same topicMultiple Sclerosis Research StudiesFrench-language works237,207