New Patient Interaction Formulas in Spanish and Catalan: A Case for Forumclinic
Bibliographic record
Abstract
On February of 2007, forumclinic (www.forumclinic.org) was launched. This free, first of its kind, collection of Evidence-Based Medicine chronic disease monograph resources, is targeted for Spanish and Catalan-speaking patients. Information is available both online (i.e., forums) and offline (i.e., DVDs) and is culturally sensitive to the target population. Forumclinic has cantered on active patient engagement through the use of disease-specialist moderated forms. Both the Health on the Net Foundation and the Medical Doctors College of Barcelona have accredited forumclinic as a quality, unbiased, health site that is based on the WHO premise of Social Determinants of Health - increased health education and interaction leads to better health. This descriptive paper will introduce forumclinic and describe the patient/user response to date.
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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 | 0.014 | 0.028 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.011 | 0.007 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.008 | 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".