Zhodnocení ergoterapeutické intervence na lůžkách včasné rehabilitace cerebrovaskulárního centra nemocnice
Bibliographic record
Abstract
OF MASTER THESIS Author: Bc. Kateřina Králová Supervisor: MUDr. Tereza Gueye Title of master thesis: Evaluation of Occupational Therapy Intervention in Acute Inpatient Rehabilitation of Cerebrovascular Units Abstract This diploma thesis deals with the evaluation of occupational interventions on the specific separation of beds of early rehabilitation of the cerebrovascular center of the General University Hospital in Prague. The subject of interest is primarily the results of the assessment obtained through the Functional Independence Measure (FIM) and the Montreal Cognitive Assessment. The thesis has two main objectives, namely mapping and analyzing the tools used to assess self-sufficiency and cognitive functions in the department. You can find the description of the evaluation tools in the theoretical part of the thesis. It is also an overview of the topic of the selected topic and a brief description of the system of cerebrovascular care in the Czech Republic. The second objective was to evaluate variables such as length of hospitalization and cognitive status in relation to patient self-sufficiency at the end of hospitalization. Three hypotheses have been identified to meet this goal. The practical part describes the results of the used tools for a particular department. The research group...
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.019 | 0.003 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".