[Nursing Competence Mapping for Organizational Development: a national analysis of nurses involved in the Donation and Transplantation Process].
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| 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) | 0.000 | 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 it