Undergraduate Student Nurses' Knowledge, Attitudes, and Practices of Hepatitis C: Results from a Community College in Vancouver, British Columbia
Bibliographic record
Abstract
Despite all of the advancements in chronic hepatitis C (HCC) treatment, 44% of people living with CHC are unaware of their status (Trubnikov et al, 2011). Diagnosis of asymptomatic Hepatitis C (HCV) is necessary for early identification which can present the options for self determined linkage to care and treatment; important to prevent disease progression to end stage liver disease, cancer and death.\nSeveral studies have shown that awareness of HCV is a major barrier to early diagnosis which remains low in the general public and health care professionals. While nurses represent the largest proportion of the health care workforce in Canada the supply of Registered Nurses (RN) is 285,482 and Nurse Practitioners (NP) is 4,540 (CIHI, 2016). The likelihood that RNs and NPs to encounter someone living with CHC who is undiagnosed may be relevantly high.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".