[Nursing Competence Mapping for Organizational Development: a national analysis of nurses involved in the Donation and Transplantation Process].
Bibliographic record
Abstract
The constant evolution of the health care system has led to a thorough reorganization of the system itself and an improvement in terms of the quality of treatment provided. Many articles in the literature confirm that the answer to increased quality of standards and efficient levels of organization are undoubtedly due to true and efficient team work, without any of the professionals involved having to change their area of expertise. This rapid evolution of the treatment process has required the improvement and definement of technical-specialist skills on the part of the nursing staff; personnel who have proved to be the real link in the technical-communicative processes. In relation to this important aspect, it has become essential to design, at present based on more than ten-years of experience, a profile of "job description" skills for the nursing staff engaged in the world of donations and transplants, in order to give companies objective and measurable elements on the skills profile that can be identified for this specific area and a clear recognition of the profession itself.
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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 | 0.010 | 0.027 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.009 | 0.013 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".