Additional file 2 of Addressing knowledge gaps in Parkinson’s disease: a report on the Movement Disorder Society’s Centre-to-Centre initiative to improve Parkinson’s disease services in Lao People’s Democratic Republic
Bibliographic record
Abstract
Additional file 2. The Thailand and Lao PDR Centre-to-Centre programme concept. The Thailand and Lao PDR concept of Centre-to-Centre programme. The 2-year Centre-to-Centre (CTC) programme was a collaborative project between Chulalongkorn Centre of Excellence for Parkinson’s Disease & Related Disorders (ChulaPD, www.chulapd.org ), as the mentor centre and the University of Health Science as the mentee centre, receiving funding support from the International Parkinson and Movement Disorder Society (MDS). The concept of CTC programme is to establish the movement disorders service in the underserved region by offering a tailored two-year educational training between established “mentor” movement disorder centres and “mentee” centres. Either increasing capacities of local physicians to handle with care for their PD patients, changing the way their practices, or establishing the dedicated movement disorders services are ultimate goals of this project. The responsibilities of the mentor centre are to create and deliver proper educational training about PD based on the mentees’ interest and to identify knowledge gaps which may intimate appropriate educational engagements. A number of regular tele-education and in-person visits between mentor and mentee centres provide core knowledge in PD. In particular, the educational programme will be focused on strengthening both theory and practice knowledge to medical professionals. This programme was approved by the MDS education committee.
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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 | 0.004 | 0.055 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.814 | 0.086 |
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".