Bibliographic record
Abstract
Diplomová práce Senzomotorická kontrola u pacientů s chronickými bolestmi zad Bibliographic identification MEJSNAROVÁ, Alena. Sensorimotor control in patients with chronic back pain. Prague: Charles University, 2nd Faculty of Medicine, Department of Rehabilitation and Sports Medicine, 2013. 84 p. Supervisor prof. PaedDr. Pavel Kolář, Ph.D. Abstract Objectives: To investigate and compare the graphesthesia, proprioception and somatognosis acuity in patients with chronic low back pain and a control group. The aim is to prove a deficit of these functions as a result of chronic pain and to find a possible influence of pain intensity and duration on sensorimotor control. Participants: Twenty patients with chronic LBP (9 men and 11 women, average age 47,3 ± 8,9 years) and 20 age- and sex-matched healthy controls participated in this study. Methods and Measures: Several specific tests were used to investigate the graphesthesia, proprioception and somatognosis in both groups. All the probands filled the Short-Form McGill Pain Questionnaire and a questionnaire with basic anamnestic data. Differences between the experimental and control groups were measured and compared using two-tailed unpaired t-test. Results: Differences exist among individuals with chronic LBP and healthy individuals in sensorimotor control....
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
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".