Assessment of informational needs in Behcet’s patients
Bibliographic record
Abstract
Behçet’s disease (BD) is one of the rare rheumatologic diseases which affects most commonly young adults in the third or fourth decade of life. Inspite of the multi system nature of the disease can lead to temporary or permanent functional disability, informational needs of BD patients is still unknown as no studies has investigated such issue, hence the aim is to assess the informational needs among patients with Behçet’s disease. A cross-sectional descriptive design on a convenient sample of 68 adult BD patients was utilized. Data was collected using the following tools: (a) structured interview questionnaire and (b) the Arabic version of Toronto Informational Needs Questionnaire (TINQ) adapted for BD. The highest percentage of the study sample was male (82.40%) came from rural area (61.80%) and aged 31-42 (58.00%) with a mean age of (38±7.01 years). The study results showed the information related to treatment, disease characteristics, investigative tests and psychosocial items are highly important needs among BD patients. Age, gender and education are influencing factors for informational needs in the sample of the study. Further replication of the study is recommended from different geographical areas.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| 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) | 0.001 | 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".