IMPLEMENTING AND OPTIMISING AN ELECTRONIC LIBRARY OF HEALTH CARE IN BELGIUM: RESULTS OF A PILOT STUDY
Bibliographic record
Abstract
Health care practitioners are expected to incorporate results from the best available, scientific information into their daily clinical decision-making process. Useful formats of evidence for practitioners include selected reviews, abstracts in which research results are discussed, "quick answer", evidence-based website including for example diagnostic and therapeutic algorithms, drugs prescription and non-drug therapy. An increasing amount of practitioners has access to the World Wide Web, either at home or at the office. However, easy and cheap access to objective and high quality research results is limited. Many practitioners lack the skills to efficiently navigate complicated medical databases. In 2003 an 'Electronic Library of Health Care' was introduced in Belgium. The main goal of the electronic library is to provide a gateway to scientific evidence to Belgian health care practitioners from different disciplines. This paper presents the results of a pilot project to implement the library in the field. It also describes recent developments and adjustments that increased the efficacy of this gateway to evidence.
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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 | 0.022 | 0.061 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".