Bibliographic record
Abstract
Two months ago you were asked to give a lecture on the immune system. No problem, you say. There's lots of time to find some snappy slides for your presentation. Two months pass, it's the morning of event and now you've got 2 hours to pull together some imagery that will keep that first-year medical class interested and informed. Naturally, you turn to the Net for help. And fortunately, lots of online repositories of medical imagery and media are freely available. In many the quality of the images is poor, but a few sites are worth bookmarking. The best is probably the Health on the Net (HON) Foundation's Medical Media Library (www.hon.ch/HONmedia/). HON, based in Geneva, grew out of a 1995 conference on telemedicine. It has since developed a number of Internet initiatives involving health care, including this impressive online media database. HONmedia contains more than 1950 medical images and videos covering 1200 themes and topics. Subjects range from anatomy to psychiatry, and this site isn't above injecting a bit of humour into its imagery, as shown by the short video Human macrophage ingesting candida albicans. The sound effects alone are worth the downloading effort. Another place to turn is the University of California's Medical Imaging Library (www-sci.lib.uci.edu/HSG /MedicalImage.html). This is a large database of teaching materials. It is not well organized but it does contain thousands of multimedia images and more than 700 health-science movies. If you want to spend a few bucks, several professional graphics houses sell quality images on the Net; Blausen Medical Communications (www.imagesofhealth.com) and the Medical Illustration Group (www.migroup.co.uk/m.i.g) are just 2 examples. A search for “medical images” in any search engine will turn up hundreds of results. You can also visit Yahoo's medical imagery directory (dir.yahoo.com /Health/Medicine/Medical_Imaging/). Finally, if you are just looking for some generic medical graphics to spruce things up, try the collection of sites at Web Clip Art (webclipart .about.com/internet/webclipart/msub35aa.htm). Most of these items are freely available, although some come with restrictions. As always, read the copyright information carefully. —
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 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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.008 | 0.009 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.553 | 0.399 |
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".