Bibliographic record
Abstract
Outside, the streets are lashed with rain. It is a terrible night to drive 11 km to the university library, where the latest edition of the AAP Red Book is sitting on the shelf, but our doctor must consult it tonight. Tomorrow's 8 a.m. appointment is with the worried parents of an infant ill with Campylobacter jejuni infection. Fortunately, the Internet age means that doctors facing these types of problems no longer have to venture outside. They can visit www.cma.ca/osler, the CMA's online medical searching service, enter their username and password and select the latest feature, MD Consult. Within seconds the full text of the American Academy of Pediatrics' AAP Red Book: Report of the Committee on Infectious Diseases is on the screen, fully searchable. The pages about treatment of Campylobacter infection can be read on the screen, printed or sent to the office by email for review later. While on the site, the physician also clicks on Librarian Support. The next morning, she will receive a complex MEDLINE search, complete with strategy and journal citation abstracts. Best of all, OSLER is accessible from any computer, 24 hours a day, as a free service for CMA members. OSLER has always been popular with physicians, but the addition of MD Consult to its list of services in November 2000 caused thousands more physicians to sign on. (MD Consult is available to nonmembers for US$200 a year, home.mdconsult.com/). The full-text component of MD Consult provides a rich complement to every medical practice. It includes 56 journals with full-text articles, ranging from the Clinics North America series to the Journal of Pediatrics and the American Heart Journal. There are also 39 nonabridged medical textbooks, including Cecil's Textbook of Medicine and Nelson's Textbook of Pediatrics. There are also 49 medical yearbooks and 3000 patient-education handouts that physicians can customize and download. This online content is searchable by keyword/MeSH heading, author, journal title and date. While the full-text component of MD Consult is vast, current and highly praised by our users, the search engine is simple and less powerful than Ovid's. Best results are obtained by first conducting a search on Ovid and then using those citations to download material from MD Consult. OSLER users can get help any time from ac.ocitapmys@yrarbilamc or by calling 800 663-7336 x2255.
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 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.009 | 0.004 |
| Scholarly communication | 0.005 | 0.010 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.009 | 0.007 |
| Insufficient payload (model declined to judge) | 0.064 | 0.015 |
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".