Bibliographic record
Abstract
Background: Chronic Inflammatory demyelinating polyradiculoneuropathy is a rare disorder of the peripheral nerves. A disease affecting up to 8.9 out of 100,000 people, and a yearly incidence of 1.6/100,000 people, CIDP is a condition that is treatable but still relatively unknown outside of the neuromuscular community. The purpose of this research, initiated by the GBS/CIDP Foundation, is to better understand a patient’s journey living with the disease and identify unmet needs. Methods: The research consists of a mix of structured interviews, digital ethnography and patient records. A total of 10 Canadian patients living with CIDP and their caregivers, 7 Canadian neurologists and 3 Canadian neuroscience nurses will be the subjects for our research. Results: In order to identify key interactions between patients and the healthcare system, the report will map a patient’s experience on 4 distinct planes. Clinical journey (ex: first symptoms, diagnosis, disease progression), Patient emotional journey (the emotional states the patient undergoes throughout his/her journey), Caregiver emotional journey, and Outcomes (ex: delays in care, damaged relationships, commitment to therapy). The report will identify key areas along the patient journey where more intervention is possible and where more research may be needed. Conclusions: The research is expected to be completed by April 2019.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.024 | 0.007 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.022 | 0.001 |
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.
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".