Getting on with Your life with MS: Development, refinement and preliminary testing of a self-management workbook for people living with multiple sclerosis
Bibliographic record
Abstract
Individual characteristics of included studies, use of internet and methods of contact with patients.Characteristics of the interventions of the included studies Outcomes of the included studies PEDro evaluation of quality of included studies 4 Source of content for each topic covered Feedback obtained on the individual worksheets content Score on the PEMAT scale for understandability and actionability Examples of participants comments regarding the GETONMS© workbook 7 Content of interviews Presence of Response Shift on the PGI and RS on the then-test Presence of RS and propensity factors for RS by participants Quotes representing each propensity for RS factors 9 Characteristics of persons completing different stages of the study entry process Characteristics of the 23 first participants enrolled in the GETONMS© pilot trial compared with those enrolled in an exercise trial (MSTEP©) using standard clinical recruitment methods Values on the study outcomes from the 23 first participants enrolled into the GETONMS© randomized feasibility study v
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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 | 0.011 | 0.029 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".