To Access Knowledge Regarding Organ Donation among Healthcare Workers and Their Willingness toward Organ Donation
Bibliographic record
Abstract
BACKGROUND: In India, critical shortage of organ donations, particularly deceased donations, has led to a dire situation in India, with thousands of patients waiting for transplants and a significant number of them succumbing. One of the reasons for the shortage of organs for transplantation is unawareness and prejudiced information about organ donation. Being direct or indirect stakeholders, the knowledge regarding organ donation among healthcare workers may play an important role in the donation process. AIM: To assess the knowledge regarding cadaver organ donation among healthcare workers and their willingness toward organ donation. MATERIALS AND METHODS: -values were considered significant at <0.05. RESULTS: < 0.01). CONCLUSION: We have observed fair awareness regarding overall cadaver organ donation concept among healthcare workers. There is a need to improve knowledge of extended age criteria and which organs can be retrieved from deceased donor. Authorities have to work hard on delivery of organ donation pledging card to promote donation program.
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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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".