Bibliographic record
Abstract
Open-access Web resources on cardiovascular infections and inflammationsTo the Editor: Undoubtedly, there is plenty of information on the Internet regarding cardiovascular infections and inflammations.With a view to contributing to the investigation and evaluation of the content and usefulness of this information for Internet visitors related to medical sciences, we compiled a list of specific Web sites that are providing educational material in the field of cardiovascular infections and inflammations.Using the methodology we developed for previous publications in other medical fields (1,2), we extensively searched scientific Internet search engines, including Scirus (3) and HON (Health on the Net Foundation) (4), and medical databases such as PubMed, MedlinePlus, Current Contents Connect, Diseases Database and eMedicine from WebMD.We also searched sites from cardiology societies, organizations, major universities and open-access journals.The terms used included "cardiac infection", "cardiovascular infection", "cardiovascular inflammation", "endocarditis", "myocarditis", "pericarditis", "Kawasaki disease", "Takayasu's arteritis", "infection after cardiac surgery" and "pacemaker related infection".The included Web sites were offered as open-access electronic resources, written in English and developed for nonprofit but educational purposes, and targeted Web visitors such as medical students, residents, cardiology fellows and practising clinicians in general.Using the aforementioned methodology, we finally chose 46 Web sites.Ninety-three Web pages were identified from the 46 initially selected Web sites (Table 1).The selected Web pages provide Web visitors with guidelines and scientific statements on the diagnosis and management of cardiovascular infections and inflammations (pericarditis, myocarditis, endocarditis, Takayasu's arteritis and Kawasaki's disease), recommendations for the prevention of infective endocarditis, slide presentations, representative images and educational articles.Web sites of major academic institutions contain links for freely available electronic books, journals, databases, educational atlases of cardiothoracic images, quizzes, case presentations and online lectures from acknowledged specialists.However, our effort was not without limitations.For example, Web resources are changing their content constantly, and of course, there are a sufficient number of qualitative Web sites written in languages other than English that were excluded from our list.We also recognize that some other Web sites that also provide scientists with valuable information, particularly Web sites that are not offered as open-access resources, might have been omitted.We believe that this organized list of available Web resources containing free and educational information on cardiovascular infections and inflammations may be useful in delivering valuable, relevant information to medical scientists in search of answers on these topics.
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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 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.020 | 0.019 |
| Insufficient payload (model declined to judge) | 0.009 | 0.009 |
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".