The Relationship Between the American Board of Anesthesiology Part 1 Certification Examination and the United States Medical Licensing Examination
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: The graduate medical education community uses results from the United States Medical Licensing Examination (USMLE) to inform decisions about individuals' readiness for postgraduate training. OBJECTIVE: We sought to determine the relationship between performance on the USMLE and the American Board of Anesthesiology (ABA) Part 1 Certification Examination using a national sample of examinees, and we considered the relationship in the context of undergraduate medical education location and examination content. METHODS: Approximately 7800 individuals met inclusion criteria. The relationships between USMLE scores and ABA Part 1 pass rates were examined, and predictions for the strength of the relationship between USMLE content areas and ABA performance were compared with observed relationships. RESULTS: Pearson correlations between ABA Part 1 scores and USMLE Steps 1, 2 (clinical knowledge), and 3 scores for first-taker US/Canadian graduates were .59, .56, and .53, respectively. A clear relationship was demonstrated between USMLE scores and pass rates on ABA Part 1, and content experts were able to successfully predict the USMLE content categories that would least or most likely relate to ABA Part 1 scores. CONCLUSIONS: The analysis provided evidence on a national scale that results from the USMLE and the ABA Part 1 were correlated and that success on the latter examination was associated with level of USMLE performance. Both testing programs have been successful in conceptualizing many of the knowledge areas of interest and in developing test content to reflect those areas.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.049 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it