Institutionalization of research on community-acquired pneumonia // Институционализация на изследванията върху пневмонията, придобита в обществото
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
Problem-oriented scientometric investigations of the institutionalization, interdisciplinarity and internationalization of science contribute to enhancement of the quality and effectiveness of research activity at the forefront of science. Recently, the interest in the community-acquired pneumonia (CAP) impetuously runs high that leads to a more intensive publication activity in the whole world. A retrospective on-line literature search on these problems in the data-bases (information portals) Web of Science (WoS), Scopus, EMBASE, and MEDLINE (through EBSCO) in 1985-2008 was carried out. The following indicators were analyzed: number of abstracted publications per years; languages of publications; number of authors of these publications; number of countries of these authors; number of journals with these publications;document types; publications by Bulgarian authors;number of authors’ scientific institutions; authors and institutions presenting with the greatest number of publications as well as most-commonly cited authors. The total number of abstracted publications is 8748 in Scopus, 8009 in EMBASE, 6766 in WoS, and 4213 in MEDLINE. The numbers of abstracts, authors, journals, and institutions rise uninterruptedly. The journals Clinical Infectious Diseases and Chest, the University of Pittsburgh and Winthrop University Hospital as well as the most productive and most commonly cited authors T. J. Marrie (Canada), A.Torres (Spain) and T. M. File (US A) have been sharply outlined. Bulgaria presents only with 8 articles in 5 Bulgarian journals and with two articles in one eminent foreign journal. The created bibliographic and abstracting data-base can be used by Bulgarian investigators of the problems of CAP for the purposes of fruitful international collaboration.
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 | 0.037 | 0.010 |
| Meta-epidemiology (narrow) | 0.002 | 0.003 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.008 | 0.018 |
| Science and technology studies | 0.013 | 0.034 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.031 | 0.010 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 0.008 |
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