Bibliographic record
Abstract
Objective: To evaluate a standardized rheumatology referral form. Methods: Our study population consisted of all family physicians at two family medicine clinics in Montreal (66 physicians in total). We evaluated family physicians' knowledge about RA and behavior in response to a vignette case, before and after the implementation of a standardized rheumatology referral form within the two family medicine clinics. Results: Before the implementation of the rheumatology referral form, only 16 out of the 44 respondents (36.4%, 95% Confidence Interval, CI, 23.8 to 51.1) had a high suspicion of RA, meaning that just over a third of respondents were able to correctly identify a potential RA case. Six months after the form was introduced, 13 out of the 19 respondent (68.4%, 95% CI: 46.0 to 84.6) said they had a high suspicion of RA. This percentage remained constant as long as a year later, when 68.8% of physicians had a high suspicion of RA (11 out of the 16 respondents, 95% CI, and 44.4 to 85.8). Conclusions: Though not definitive, our results seem to suggest that a standardized rheumatology referral form may be a practical and effective way to increase awareness of RA.
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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 | 0.042 | 0.067 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".