HTML and Web Site Design for the Radiologist: A Primer
Bibliographic record
Abstract
A Web site has enormous potential as a medium for the radiologist to store, present, and share information in the form of text, images, and video clips. With a modest amount of tutoring and effort, designing a site can be as painless as preparing a Microsoft PowerPoint presentation. The site can then be used as a hub for the development of further offshoots (eg, Web-based tutorials, storage for a teaching library, publication of information about one's practice, and information gathering from a wide variety of sources). By learning the basics of hypertext markup language (HTML), the reader will be able to produce a simple and effective Web page that permits display of text, images, and multimedia files. The process of constructing a Web page can be divided into five steps: (a) creating a basic template with formatted text, (b) adding color, (c) importing images and multimedia files, (d) creating hyperlinks, and (e) uploading one's page to the Internet. This Web page may be used as the basis for a Web-based tutorial comprising text documents and image files already in one's possession. Finally, there are many commercially available packages for Web page design that require no knowledge of HTML.
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.
How this classification was reachedexpand
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".